“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being part of Walt Disney Attractions Technology (WDAT) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As the Senior Manager in the Information Advantage (IA) organization, you will be working in latest big data, cloud and AI/ML technologies and responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects across business functions. This role will oversee the end to end program delivery, technical success of the projects and develop a repeatable delivery framework across various initiatives. Responsibilities: Responsible for delivering large scale projects on time, budget and high quality. Leading large programs from ideation, solution, estimation, implementation and sustainment. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently Ability to facilitate business, technical and management discussion with large diverse groups and provide leadership support. Ability to develop integrated release planning for large programs across multiple teams and instill agile and development methodology processes. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently Responsible for executive and management reporting on status, accomplishments and on time escalation for issue resolution. Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore). Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality. Manage buget effectively working closely with finance controllership and able to build forecast and minimizing actual variance. Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers. Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels across the Walt Disney Company. Develop and manage effective working relationships with other departments, groups and staff Enforce and grow a culture focused on quality Basic Qualifications: 15+ years of experience in technology especially in data management space including delivering atleast 5+ multi-million dollar data management delivery projects 5+ years of experience in delivering technology initiatives involving big data, cloud and data science capabilities. Experience and understanding of modern data technologies and patterns especially Hadoop, Python, Spark, cloud native data management process, NoSQL databases, docker containers, etc Experience working cloud platforms such as AWS, Google Cloud, Azure Experience with ML frameworks and understanding of algorithms (regression, classification, etc) is a big plus Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into business solutions Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the Data Management, Cloud and ML Framework Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems Passionate about data, technology, and challenging the status quo Proven experience providing technical mentorship to team members Comfortable working in a team environment using agile methodologies Strong communication, interpersonal skills and fortitude to get stuff done Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Experience in a large media or technology company and working with revenue management, digital, customer engagement initiatives is a big plus Success at delivering large scale technology delivery projects on-time and on-budget. A comfort level with complex, matrixed organizations containing a certain amount of ambiguity Preferred Qualifications: Master’s degree in computer science or related field/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

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  

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.

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.

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.

As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform. You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform. This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further. Responsibilities Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements Own and document foundational company metrics with a clear definition and data lineage Identify, document and promote best practices Requirements BS degree in Computer Science or Engineering discipline. 5+ years work experience showing growth as a Data Engineer. Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments Deep understanding of relational as well as NoSQL data stores, methods and approaches  (logging, columnar, star and snowflake, dimensional modeling) Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go) Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment. Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc. Capable of planning and executing on both short-term and long-term goals individually and with the team. Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc. Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark) Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners Excellent understanding of trade-offs Demonstrated ability to navigate between big-picture and implementation details Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected. Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver. Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Come do the best work of your life here at Slack.

**THIS POSITION REQUIRES AN ACTIVE TS/SCI WITH POLY CLEARANCE** This BI&A PRIME contract is seeking a Principal Database Engineer to join a team which is responsible for provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure. This teams participates in technical research and development enabling continuing innovation within the infrastructure and ensuring system hardware, operating systems, software systems, and related procedures adhere to organizational values. Database System Engineer duties include: Provide Database System Administration to development, staging, and production environments. Develop and maintain installation and configuration procedures. Contribute to and maintain system standards. Research and recommend innovative, and where applicable automate approaches for database administrations tasks. Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems, and key processes, reviewing system and application logs, and verifying completion of scheduled job. Repair and recover from hardware or software failures. Apply patches and upgrades, upgrade database administration tools and utilities. Configure / add new services as necessary. Perform on-going performance tuning, hardware upgrades, and resource optimization as required. Education Requirements: Bachelor's Degree in a related Technical Field may be substituted for 4 years’ experience. Required Experience: 15+ years’ experience performing and providing technical support to hardware, software, and applications. 7+ years’ experience providing technical guidance to mid-level engineering personnel. Experience developing technical documentation. Technical experience to include: Strong expertise with noSQL databases: MongoDB, Cassandra. Experience with SQL databases: Oracle, mySQL Linux systems administration skills, including configuration, troubleshooting, and automation. Troubleshooting and performance tuning experience. Fluency in at least one scripting language such as Ruby, Shell, Python, or Java. Writing software for configuration management systems (Puppet, Chef, Ansible). Experience configuring and/or utilizing monitoring/logging solutions for operations such as Nagios, Kafka, or Cassandra. Desired Experience: Knowledge of Java development process Network security experience: Access and authorization - PKI, chain trusting, Central Authentication System