The selected applicant will be responsible for the design and development of real-time embedded systems of advanced radio communications equipment with a focus on network protocols and applications. Working in a team environment, design and develop software components required to implement features and capabilities for software defined radios. Participate in all phases of the software development life cycle (requirements analysis, high level design, detailed design, coding, unit test, integration, system level test). Prepare work estimates, schedule inputs and metric data to project management. Consult with other cross-functional engineering staff (electrical, mechanical, systems) to evaluate interfaces between hardware and software, and operational performance requirements of the overall system. Operates independently with direction from technical leads.
Qualifications:
Bachelor of Science in EE/CE/CS discipline along with 2+ years of directly related software experience.
Digital signal processing
Radio communications
Ability to design / analyze signal processing algorithms for various waveforms; detection / correlation / FEC algorithms
Ability to model and simulate signal processing algorithms utilizing C/C++ or MATLAB
Ability to work closely with developers implementing such algorithms, targeting FPGAs or DSPs
Ability to generate test vectors to verify implemented algorithms
Lab experience using boards (hardware)
Preferred Additional Skills:
Knowledge of TI Processors
Tactical Radio Communications
CMMI and standard software development processes
GIT, SVN, DOORs, JIRA
Good communication skills and a team player
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
May 31, 2019
Full-time
The selected applicant will be responsible for the design and development of real-time embedded systems of advanced radio communications equipment with a focus on network protocols and applications. Working in a team environment, design and develop software components required to implement features and capabilities for software defined radios. Participate in all phases of the software development life cycle (requirements analysis, high level design, detailed design, coding, unit test, integration, system level test). Prepare work estimates, schedule inputs and metric data to project management. Consult with other cross-functional engineering staff (electrical, mechanical, systems) to evaluate interfaces between hardware and software, and operational performance requirements of the overall system. Operates independently with direction from technical leads.
Qualifications:
Bachelor of Science in EE/CE/CS discipline along with 2+ years of directly related software experience.
Digital signal processing
Radio communications
Ability to design / analyze signal processing algorithms for various waveforms; detection / correlation / FEC algorithms
Ability to model and simulate signal processing algorithms utilizing C/C++ or MATLAB
Ability to work closely with developers implementing such algorithms, targeting FPGAs or DSPs
Ability to generate test vectors to verify implemented algorithms
Lab experience using boards (hardware)
Preferred Additional Skills:
Knowledge of TI Processors
Tactical Radio Communications
CMMI and standard software development processes
GIT, SVN, DOORs, JIRA
Good communication skills and a team player
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
Embedded software design engineer will be a member of a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Responsibilities will include system/software analysis, architecture definition, high-level design, detailed design, implementation, testing, documentation, and government certification of embedded software for radio or other communications products. Requires the application of the principles and techniques of computer science, engineering, and mathematical analysis.
Responsibilities:
Research, design, develop, modify and evaluate embedded computer software for electronic equipment or other communications systems in conjunction with hardware product development.
Determine design approaches and parameters. Analyze software requirements to determine feasibility of design within time and cost constraints. Analyze equipment to establish operating data, conduct experimental tests and evaluate results.
Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems.
Perform the functional analysis, requirements allocation and technical interface definition to translate customer requirements into software development specifications for the radio and associated subsystems.
Develop block diagrams and interface design specifications.
Work with product design, test, manufacturing, logistics engineering teams, product and program management and other groups, and external customers as needed to define and execute radio product development projects and deliver high-quality radio products.
Prepare design and implementation reviews and oversee the configuration management and control of requirements and design documentation, and development software. Present technical briefings and status reviews.
Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program.
Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system.
Develop software system testing procedures and design documentation
Qualifications:
Bachelor of Science in Electrical Engineering, Computer Science, Software Engineering, or Computer Engineering.
Minimum of 4 years of experience (2 years with an MS degree) developing real-time embedded software in C or C++.
4+ years’ experience developing and testing software developed in C or C++.
2+ years’ experience with OOA/OOD software development methodology.
4+ years’ experience in full development lifecycle for software projects.
2+ years of experience producing software development documents, such as design documents and test plans.
Active Secret U.S. DOD Security Clearance (or inactive for less than 2 years).
This position requires the candidate to already possess an active DOD Secret clearance (or a DOD Secret clearance inactive less than 2 years which can be immediately reactivated), and to maintain the clearance.
US citizenship is required.
Preferred Additional Skills:
Experience developing software on an embedded microprocessor using an RTOS in C or C++.
Experience designing and developing device drivers.
Experience contributing to the development of software architecture.
Experience with UML and OOA/OOD software development methodology.
Experience with TCP/IP network protocols, routing, and writing network communications software in C or C++.
Experience in full development lifecycle for software projects.
Experience/knowledge of Capability Maturity Model (CMM)/Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development process.
Familiarity with software analysis, design, development, testing (including software unit testing), and automation tools.
Highly motivated, a self-starter, and able to operate with little supervision in diverse environments.
A successful track record in planning, executing, and tracking personal task assignments.
Experience leading small product development teams and mentoring other engineers.
Demonstrated ability to analyze and debug software and related hardware issues.
Strong verbal and written communication skills.
Cryptographic experience.
Radio communications experience.
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
May 31, 2019
Full-time
Embedded software design engineer will be a member of a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Responsibilities will include system/software analysis, architecture definition, high-level design, detailed design, implementation, testing, documentation, and government certification of embedded software for radio or other communications products. Requires the application of the principles and techniques of computer science, engineering, and mathematical analysis.
Responsibilities:
Research, design, develop, modify and evaluate embedded computer software for electronic equipment or other communications systems in conjunction with hardware product development.
Determine design approaches and parameters. Analyze software requirements to determine feasibility of design within time and cost constraints. Analyze equipment to establish operating data, conduct experimental tests and evaluate results.
Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems.
Perform the functional analysis, requirements allocation and technical interface definition to translate customer requirements into software development specifications for the radio and associated subsystems.
Develop block diagrams and interface design specifications.
Work with product design, test, manufacturing, logistics engineering teams, product and program management and other groups, and external customers as needed to define and execute radio product development projects and deliver high-quality radio products.
Prepare design and implementation reviews and oversee the configuration management and control of requirements and design documentation, and development software. Present technical briefings and status reviews.
Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program.
Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system.
Develop software system testing procedures and design documentation
Qualifications:
Bachelor of Science in Electrical Engineering, Computer Science, Software Engineering, or Computer Engineering.
Minimum of 4 years of experience (2 years with an MS degree) developing real-time embedded software in C or C++.
4+ years’ experience developing and testing software developed in C or C++.
2+ years’ experience with OOA/OOD software development methodology.
4+ years’ experience in full development lifecycle for software projects.
2+ years of experience producing software development documents, such as design documents and test plans.
Active Secret U.S. DOD Security Clearance (or inactive for less than 2 years).
This position requires the candidate to already possess an active DOD Secret clearance (or a DOD Secret clearance inactive less than 2 years which can be immediately reactivated), and to maintain the clearance.
US citizenship is required.
Preferred Additional Skills:
Experience developing software on an embedded microprocessor using an RTOS in C or C++.
Experience designing and developing device drivers.
Experience contributing to the development of software architecture.
Experience with UML and OOA/OOD software development methodology.
Experience with TCP/IP network protocols, routing, and writing network communications software in C or C++.
Experience in full development lifecycle for software projects.
Experience/knowledge of Capability Maturity Model (CMM)/Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development process.
Familiarity with software analysis, design, development, testing (including software unit testing), and automation tools.
Highly motivated, a self-starter, and able to operate with little supervision in diverse environments.
A successful track record in planning, executing, and tracking personal task assignments.
Experience leading small product development teams and mentoring other engineers.
Demonstrated ability to analyze and debug software and related hardware issues.
Strong verbal and written communication skills.
Cryptographic experience.
Radio communications experience.
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
May 30, 2019
Full-time
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
As Engineering Lead within our Merchant Operations department you will lead teams who build resilient systems to handle million requests per day without downtime. Your actions have a high impact in making Zalando become the best high quality Marketplace in the Fashion Industry. Ensuring article data quality, handling high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch, your teams optimise the overall merchant experience at an incredible, international scale.
WHERE YOUR EXPERTISE IS NEEDED
Develop and execute mid- & long-term technical vision and architectural direction to:
Create highly scalable solutions
Facilitate collaboration, communication and decision-making between the engineering team, product specialists and stakeholders. You partner with product owners, engineering and architecture teams to influence product strategy and drive the product development roadmap
Attract, onboard, develop and retain diverse top talents to your team and transform the landscape of Zalando’s Merchant platform
WHAT WE'RE LOOKING FOR
A solid background in software engineering with a strong understanding of core priorities, KPI’s and underlying system architecture
Significant experience leading and developing cross-functional engineering teams within an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams
Extensive experience in object-oriented and functional programming languages with a profound knowledge of REST APIs and highly distributed, scalable and resilient micro services landscapes
You think creatively, are solution oriented, adaptable to change, and have a drive for continuous innovation
Responsible for maintaining trustful relationship with your teams, leading them and setting a high standard as an example
Keeping business in mind, you are capable of making your teams accountable and responsible for decisions made by providing strong sense of ownership.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . We do have services written in Java, Go, NodeJS, Haskell and many more .
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive on boarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
Apr 01, 2019
Full-time
As Engineering Lead within our Merchant Operations department you will lead teams who build resilient systems to handle million requests per day without downtime. Your actions have a high impact in making Zalando become the best high quality Marketplace in the Fashion Industry. Ensuring article data quality, handling high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch, your teams optimise the overall merchant experience at an incredible, international scale.
WHERE YOUR EXPERTISE IS NEEDED
Develop and execute mid- & long-term technical vision and architectural direction to:
Create highly scalable solutions
Facilitate collaboration, communication and decision-making between the engineering team, product specialists and stakeholders. You partner with product owners, engineering and architecture teams to influence product strategy and drive the product development roadmap
Attract, onboard, develop and retain diverse top talents to your team and transform the landscape of Zalando’s Merchant platform
WHAT WE'RE LOOKING FOR
A solid background in software engineering with a strong understanding of core priorities, KPI’s and underlying system architecture
Significant experience leading and developing cross-functional engineering teams within an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams
Extensive experience in object-oriented and functional programming languages with a profound knowledge of REST APIs and highly distributed, scalable and resilient micro services landscapes
You think creatively, are solution oriented, adaptable to change, and have a drive for continuous innovation
Responsible for maintaining trustful relationship with your teams, leading them and setting a high standard as an example
Keeping business in mind, you are capable of making your teams accountable and responsible for decisions made by providing strong sense of ownership.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . We do have services written in Java, Go, NodeJS, Haskell and many more .
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive on boarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities:
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications:
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education:
Bachelor’s degree in Computer Science or related field or equivalent work experience
Jun 02, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities:
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications:
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education:
Bachelor’s degree in Computer Science or related field or equivalent work experience
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
As an IA/BigData Developer: you will create custom batch-oriented and real-time streaming data pipelines working within the Hadoop ecosystem, creating new data workloads/applications and also migrating applications from On-Premise Ecosystem to Cloud Data lakes. Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka , etc. to solve large scale processing problems in a Cloud cluster enviornment. Ensure proper data governance policies are followed by implementing defining project specific quality checks, classification, etc. Apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and teaming skills, including the ability to work effectively in agile / scrum environment. Demonstrated interest and ability to quickly learn new technologies.
Responsibilities:
Proficient understanding of distributed computing principles
Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop
Experience with various messaging systems, such as Kafka or RabbitMQ
Good knowledge of Big Data querying tools, such as Pig or Hive
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with integration of data from multiple data sources
Ability to solve any ongoing issues with operating the cluster
Experience with scripting languages and automation of processes
Proven track record of development accomplishments in highly collaborative environment
Translate complex functional and technical requirements into detailed design
Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following
Basic Qualifications:
Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions
2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation.
2-5 years software development experience in JAVA, Javascript, SQL
NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful)
Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos.
Experience with Artificial Intelligence and Machine Learning is a plus
Experience using with Code Management/CICD tools like GITHub, Jenkins is useful
Prior experience with automation is helpful
Prior experience working in a Linux/Unix enviornment is helpful
Prior experience working in an enterprise technology environment is helpful
Jun 01, 2019
Full-time
As an IA/BigData Developer: you will create custom batch-oriented and real-time streaming data pipelines working within the Hadoop ecosystem, creating new data workloads/applications and also migrating applications from On-Premise Ecosystem to Cloud Data lakes. Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka , etc. to solve large scale processing problems in a Cloud cluster enviornment. Ensure proper data governance policies are followed by implementing defining project specific quality checks, classification, etc. Apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and teaming skills, including the ability to work effectively in agile / scrum environment. Demonstrated interest and ability to quickly learn new technologies.
Responsibilities:
Proficient understanding of distributed computing principles
Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop
Experience with various messaging systems, such as Kafka or RabbitMQ
Good knowledge of Big Data querying tools, such as Pig or Hive
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with integration of data from multiple data sources
Ability to solve any ongoing issues with operating the cluster
Experience with scripting languages and automation of processes
Proven track record of development accomplishments in highly collaborative environment
Translate complex functional and technical requirements into detailed design
Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following
Basic Qualifications:
Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions
2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation.
2-5 years software development experience in JAVA, Javascript, SQL
NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful)
Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos.
Experience with Artificial Intelligence and Machine Learning is a plus
Experience using with Code Management/CICD tools like GITHub, Jenkins is useful
Prior experience with automation is helpful
Prior experience working in a Linux/Unix enviornment is helpful
Prior experience working in an enterprise technology environment is helpful
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 04, 2019
Full-time
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
Fidelity Investments is an equal opportunity employer.
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work.
Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility.
What You Must Have:
Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you.
Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento.
Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly.
What You Must Do To Be Successful In This Position:
Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product
Apply experience working with fault-tolerant, resilient, highly-available distributed systems
6+ years of experience building Web Applications and Software-as-a-Service Platforms
A demonstrated history of working and supporting DevOps culture, from build to deploy
Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems
Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems
A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually
Exceptional communication is a must
What Skills & Experience We’d Like You To Have:
Deep knowledge of PHP, Python, Java, GO – or solid OOP experience
A strong background building ecommerce or Logistics applications or equivalent
5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis
We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help
The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better
Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work.
Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility.
What You Must Have:
Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you.
Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento.
Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly.
What You Must Do To Be Successful In This Position:
Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product
Apply experience working with fault-tolerant, resilient, highly-available distributed systems
6+ years of experience building Web Applications and Software-as-a-Service Platforms
A demonstrated history of working and supporting DevOps culture, from build to deploy
Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems
Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems
A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually
Exceptional communication is a must
What Skills & Experience We’d Like You To Have:
Deep knowledge of PHP, Python, Java, GO – or solid OOP experience
A strong background building ecommerce or Logistics applications or equivalent
5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis
We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help
The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better
Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Adobe is an industry leader in customer intelligence. We have solutions to empower our enterprises to understand their customers as people – what they want, need, and believe, and to leverage insights to help business to deliver the most delightful customer experiences.
Our engineering team is responsible for the Adobe compute on Data Platform which is the foundation for the Adobe Experience Cloud. Adobe has dozens of petabytes of data to manage and bring value to our customers.
The query engine on Data Platform provides state-of-the-art capabilities for data query, advanced analytics (segmentation, sessionization, customer journey, stitching and others) and integrated into machine learning services. We use Big Data and open source technologies to develop various services for Adobe Solutions, Customers and Partners.
The scalable Query engine is a key component of the Adobe Data Platform. We are building a next generation of Query Services that can scale at the petabyte level. We are looking for strong candidates with expertise in both SQL and no-SQL databases as well as commercial or open source SQL query engines.
What you need to succeed:
3+ years as a Lead/Chief Architect working on enterprise software on a distributed platform.
Recognized Subject-Matter Expert in database / big data engineering.
Plus to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Drill, Atlas, Impala
In depth experience with No-SQL as well as RDBMS
Proficiency in data structures and algorithms
Cost consciousness around computation and memory requirements
Track record of extraordinary achievements in the industry of big data & cloud computing
Strong verbal and written communication skills
PhD/MS in Computer Science
Strong management and leadership skills
Proficiency in developing very large distributed systems with low-latency streaming.
What you’ll do
Lead the technical design, vision and implementation strategy for major systems & components of the Adobe Experience Cloud data platform mainly driving the Query Service vision.
Build and own critical parts of the services and deliver to production
Ability to articulate the design and code choices to cross functional teams
Ability to mentor and guide a high performing team
Reviewing and providing feedback on features, technology, architecture, designs, and test strategies
Managing projects, mitigating risks & creative problem solving
Developing and evolving engineering to optimize team efficiency
Partner with other teams across Adobe for achieving common goals
3-5 year as a lead/Chief Architect on distributed platform
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
Adobe is an industry leader in customer intelligence. We have solutions to empower our enterprises to understand their customers as people – what they want, need, and believe, and to leverage insights to help business to deliver the most delightful customer experiences.
Our engineering team is responsible for the Adobe compute on Data Platform which is the foundation for the Adobe Experience Cloud. Adobe has dozens of petabytes of data to manage and bring value to our customers.
The query engine on Data Platform provides state-of-the-art capabilities for data query, advanced analytics (segmentation, sessionization, customer journey, stitching and others) and integrated into machine learning services. We use Big Data and open source technologies to develop various services for Adobe Solutions, Customers and Partners.
The scalable Query engine is a key component of the Adobe Data Platform. We are building a next generation of Query Services that can scale at the petabyte level. We are looking for strong candidates with expertise in both SQL and no-SQL databases as well as commercial or open source SQL query engines.
What you need to succeed:
3+ years as a Lead/Chief Architect working on enterprise software on a distributed platform.
Recognized Subject-Matter Expert in database / big data engineering.
Plus to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Drill, Atlas, Impala
In depth experience with No-SQL as well as RDBMS
Proficiency in data structures and algorithms
Cost consciousness around computation and memory requirements
Track record of extraordinary achievements in the industry of big data & cloud computing
Strong verbal and written communication skills
PhD/MS in Computer Science
Strong management and leadership skills
Proficiency in developing very large distributed systems with low-latency streaming.
What you’ll do
Lead the technical design, vision and implementation strategy for major systems & components of the Adobe Experience Cloud data platform mainly driving the Query Service vision.
Build and own critical parts of the services and deliver to production
Ability to articulate the design and code choices to cross functional teams
Ability to mentor and guide a high performing team
Reviewing and providing feedback on features, technology, architecture, designs, and test strategies
Managing projects, mitigating risks & creative problem solving
Developing and evolving engineering to optimize team efficiency
Partner with other teams across Adobe for achieving common goals
3-5 year as a lead/Chief Architect on distributed platform
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
