The Lead Data Engineer will design and build data pipelines to measure subscriber movements and metrics for Disney's Subscriber Data Solutions.  This role involves collaborating with business, analytics, and infrastructure teams to identify data sources, design table structures, define ETL strategies, and implement automated data quality checks.  Responsibilities include leading complex technical problem-solving, contributing to the growth of data products and warehouses, partnering with colleagues to understand data requirements, designing performant and scalable data solutions, developing ETL routines using tools like Airflow, and mentoring junior data engineers. The ideal candidate will have extensive experience in data engineering, data modeling, SQL, and ETL processes.

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"><h2>Disney Entertainment &amp; ESPN Technology</h2>On 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><h2>About The Role</h2>Subscriber Data Solutions builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation initiatives. The Lead Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics. Collaborating across disciplines, they will identify internal/external data sources, design table structure, define ETL strategy &amp; automated Data Quality checks. You will also help mentor and guide other more junior data engineers in their data pipeline development.<h2>Responsibilities</h2><ul><li>Lead the successful design and implementation of complex technical problems.</li><li>Lead and contribute to the design and growth of our Data Products and Data Warehouses around Subscriber movements and metrics.</li><li>Use sophisticated analytical thought to exercise judgement and identify innovative solutions.</li><li>Partner with technical and non-technical colleagues to understand data and reporting requirements, and Collaborate with Data Product Managers, Data Architects and other Data Engineers to design, implement, and deliver successful data solutions</li><li>Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.</li><li>Develop Data Quality checks</li><li>Develop and maintain ETL routines using ETL and orchestration tools such as Airflow</li><li>Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity.</li></ul><h2>Basic Requirements</h2><ul><li>7+ years of data engineering experience developing large data pipelines.</li><li>Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.</li><li>Good understanding of SQL Engines and able to conduct advanced performance tuning.</li><li>Ability to think strategically, analyze and interpret market and consumer information.</li><li>Strong communication skills – written and verbal presentations.</li><li>Excellent conceptual and analytical reasoning competencies.</li><li>Comfortable working in a fast-paced and highly collaborative environment.</li><li>Familiarity with Agile Scrum principles and ceremonies</li></ul><h2>Preferred Qualifications</h2><ul><li>4+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.</li><li>5+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.</li><li>3+ years of experience programming languages (e.g. Python, Pyspark), preferred.</li><li>3+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.</li><li>Experience with Snowflake, Databricks/EMR/Spark &amp; Airflow a plus. </li></ul><h2>Required Education</h2><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><li>Master’s Degree a plus.</li></ul><h2>Additional Information</h2>#DISNEYTECH The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 per year. 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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Lead Data Engineer - Subscriber Solutions