The Data Platforms Team seeks a Manager, Software Engineering to lead engineering teams in designing and growing playback data products and services.  Responsibilities include designing scalable data warehousing solutions, building ETL pipelines in big data environments, querying and processing data, collaborating on architectural designs, maintaining documentation, ensuring high operational efficiency, and advocating for agile/scrum practices.  The role requires expertise in data pipelines, cloud environments (AWS preferred), SQL/NoSQL databases, Java/Scala/Python, data modeling, and agile methodologies. The team processes media consumption data to improve products, measure performance, and enhance user experience.

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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 <h4>Job Summary:</h4> 
 <div class="additional-field-value-razor">Disney Entertainment &amp; ESPN TechnologyOn any given day at Disney Entertainment &amp; ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.A few reasons why we think you’d love working for Disney Entertainment &amp; ESPN Technology<ul><li>Building the future of Disney’s media business: DE&amp;E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.</li><li>Reach &amp; Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.</li><li>Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment &amp; news.</li></ul>Job Summary:The Data Platforms Team, a segment under the Disney Entertainment &amp; ESPN Technology (DEET) organization is looking for a Manager, Software Engineering to join our Media and Session Data team. Media consumption data is critical to improving products in the DEET Portfolio because it allows us to quantify content performance, measure advertising effectiveness, help users discover new content, detect fraud, and track user journeys. Overall, this data enables us to better understand the user playback experience so we can continue improving our service for our users, advertisers, and content partners. Our Media and Session Data Engineering team is seeking a highly motivated Manager of Software Engineering with a strong technical background who is passionate about designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions. Our tech stack includes primarily utilizes AWS, Databricks, Airflow, and Spark, and languages such Scala and Java.Responsibilities and Duties of the Role:<ul><li>Provide day-to-day leadership and management of the engineering teams that contribute to the design and growth of our Playback Data Products and Services, enabling evaluation of product performance and user behavior</li><li>Participate and review the designs and implementations of scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)</li><li>Work on systems to query, process, and deliver data out of the analytics environment into internal tools and systems</li><li>Collaborate on architectural designs and help plan for maintainability, observability, and future development concerns</li><li>Maintain detailed documentation of your work and changes to support data quality and data governance</li><li>Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers</li><li>Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team</li></ul>Required Education, Experience/Skills/Training:Basic Qualifications <ul><li>8+ years of software or data engineering experience</li><li>At least 2-3 years of experience as an engineering manager</li><li>Extensive knowledge and experience of the architecture and development of data pipelines and orchestration frameworks using platforms like Spark, Hadoop, Databricks, Airflow</li><li>Experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake)</li><li>Knowledge of both SQL and NoSQL databases</li><li>Strong programming skills in Java, Scala or Python</li><li>Demonstrated competency in data modeling and analysis techniques</li><li>Familiar with Scrum and Agile methodologies</li><li>Strong attention to detail and excellent analytical skills</li><li>Verbal and written communication skills and ability to collaborate with others effectively</li></ul>Preferred Qualifications <ul><li>Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)</li><li>Experience with scalable online analytical processing databases (Druid, ClickHouse) </li><li>Experience doing hands-on data analysis of large fine-grained datasets</li><li>Experience working with a test first mentality.</li><li>Deep Understanding of AWS or other cloud providers as well as infrastructure as code</li><li>Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices</li><li>Familiar with Scrum and Agile methodologies</li></ul>Required Education &nbsp;<ul><li>Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience</li></ul> The hiring range for this position in Seattle, WA is $175,800 - $235,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div>
 
 
 
 
 
 
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Manager, Software Engineering – Media and Playback Data Processing