At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Disney Parks Experiences & Products (DPEP) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. DPEPTechnology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges Responsibilities: With the DPEP Technology group, this intern will be expected to play a critical role for web and services in the WDPRT organization. This position supports the Walt Disney World, Disneyland, and Disney Cruise suite of web applications. The individual for this position should have a passion for analysis, design, implementation, and testing of operations based work. Within the DPEP Technology group, the Big Data Engineer intern will be expected to participate on an Information Advantage Delivery Studio team. The ideal candidate should have hands on familiarity with cloud based tool sets such as HDFS/Hive, Spark/Scala, NiFi, data analysis and analytics design pattern experience and be effective at developing solutions as part of project team. This intern will be participating in thread projects moving data to the cloud. Be a part of a transformative team and culture participating on team projects while learning and experiencing new technologies. Basic Qualifications: What you bring… Strong understanding of Computer Science fundamentals Strong understanding of Data Lake, Big Data, Hadoop concepts. Strong understanding of Data Security concepts. Developer skills in Java and Python. Familiarity with AWS, HDFS/Hive, Spark/Scala, NiFi and/or similar technologies Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar SQL experience/knowledge Solid grounding in data science and information management disciplines Understanding of Linux operating system and networking fundamentals. Problem solving and analysis skills Excellent written, verbal, interpersonal communication and time management skills Preferred Qualifications: NiFi experience/knowledge Scala experience/knowledge Database experience such as MySQL, NoSQL, etc... Power BI experience/knowledge Google Query experience/knowledge Hive experience/knowledge Required Education: Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information: Internship Eligibility: Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Must provide full work availability Must provide own transportation to/from work Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Length: The approximate dates of this internship are Mid-August 2019 Mid-December 2019. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.

At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Disney Parks Experiences & Products (DPEP) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. DPEPTechnology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges Responsibilities: With the DPEP Technology group, this intern will be expected to play a critical role for web and services in the WDPRT organization. This position supports the Walt Disney World, Disneyland, and Disney Cruise suite of web applications. The individual for this position should have a passion for analysis, design, implementation, and testing of operations based work. This intern could be expected to work on engineering and migration of multiple data flows/pipelines from on-prem to BigData Hadoop platform in Cloud. They will work on developing/migrating workflows to move, transform, store and consume the data using BigData/Hadoop technologies. They will work on deploying various application code/modules on the platform and verifying the executions. Will also work on creating an automated monitoring process and reporting on the critical alerts. This intern could also be working on data analysis and analytics design pattern experience and be effective at developing solutions as part of project team. Be a part of a transformative team and culture participating on team projects while learning and experiencing new technologies. Basic Qualifications: What you bring… Strong understanding of Computer Science fundamentals Strong understanding of Data Lake, Big Data, Hadoop concepts. Strong understanding of Data Security concepts. Developer skills in Java and Python. Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar Solid grounding in data science and information management disciplines Understanding of Linux operating system and networking fundamentals. Problem solving and analysis skills Excellent written, verbal, interpersonal communication and time management skills Preferred Qualifications: Python experience/knowledge Scala experience/knowledge Nifi experience/knowledge Kafka experience/knowledge Database experience such as MySQL, NoSQL, etc... Hadoop Distributed File System (HDFS) experience/knowledge HBase experience/knowledge Previous experience installing tools in an infrastructure Docker experience/knowledge Ansible experience/knowledge Chef experience/knowledge Required Education: Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information: Internship Eligibility: Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Must provide full work availability Must provide own transportation to/from work Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Length: The approximate dates of this internship are Mid-August 2019 Mid-December 2019. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.  

Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the DTOA Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools, and become a subject matter expert with data and source systems used within many lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis as this role will support partners and clients with data architecture, queries, and processes to enable more efficient and consistent reporting and analysis in the organization. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Data Strategy Manager of Omni-Channel Analytics, and does not have direct reports. Responsibilities: The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture Work with business partners to determine needs and requirements Identify and document data requirements to support both ongoing and ad hoc analysis Learn new data sets from various lines of business, to develop an expertise in those data sets Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data. Data Analysis and Insights QA data to ensure accuracy Analyze and mine data to find opportunities in time allotted Undertake proactive and reactive ad-hoc requests as needed Make business recommendations based on the data findings Drive more efficient and sophisticated analytical insights Data Delivery / Distribution Develop efficient and value added queries / analyst tables for ongoing and adhoc analysis Convey and highlight recommendations to ‘tell the story’ with data Ensure partners understand the data / tables / processes Basic Qualifications: 2+ years of relational database experience 2+ years of analytical experience Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to deliver work on-time Team player mentality “Get stuff done” approach Attentiveness to detail Desire to learn and grow with an organization Proficiency in SQL, R, and/or Python programming languages Proficiency in Microsoft Office suite Proficiency with business intelligence tools such as Tableau Preferred Qualifications: 3+ years of relational database experience 3+ years of analytical experience Ability to apply statistical rigor to analyses Knowledge of “big data” environments and tools Experience with digital and contact center data and analytics Experience with hospitality data and analytics Experience with data warehouse platforms such as My SQL, SQL Server, Teradata Experience with text mining and natural language processing Interest in machine learning and artificial intelligence Required Education: Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc. Preferred Education: Master’s degree in an analytical/quantitative field or equivalent

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

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.

Overview Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization. An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions. Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization. Responsibilities Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions. Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team Qualifications Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred. 10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred. 5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally. Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment. Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus. Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView. Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus. Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude. 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.

**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