The Content Production & Promotion Data Engineering team at Netflix seeks an experienced Data Engineer to design and implement foundational data models. Responsibilities include owning critical portions of the Content Production data model, collaborating with stakeholders, digitizing production processes, acquiring new data sources, and translating data questions into scalable methodologies.  The ideal candidate will possess strong data modeling and Spark/Trino pipeline authoring skills, a passion for automation, and the ability to communicate complex data problems clearly.

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<div>Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Netflix is revolutionizing the entertainment industry with world-class technology. We serve 280+ million members across 190+ countries, delivering billions of hours of great movies &amp; TV shows every month in 30+ languages. To meet our members’ entertainment needs, Netflix has invested in scaled Content Production &amp; Promotion workflows. With assistance from creative supervision and member feedback data, we have built that use technologies like Computer Vision, Graphics, Machine Learning &amp; Generative methods to our creators to tell the best version of the story they want while allowing our studio to scale further.The Content Production &amp; Promotion Data Engineering team, within Data Science and Engineering, is responsible for designing and implementing foundational data models that are trustworthy, easy to use and reliable to enable a range of analytical capabilities from insights, forecasts and predictive models that enable better decision making and operational efficiencies for our Studio stakeholders all the way from Pitch to Play.We are looking for an experienced Data Engineer with a passion for automating complex business processes with elegant solutions.<h2>What will you do?</h2><ul><li>Fully own critical portions of the Content Production data model.&nbsp; Collaborate with stakeholders to understand needs, model tables using data warehouse best practices, and develop data pipelines to ensure the timely delivery of high-quality data.</li><li>Digitize established production processes that have been built in a bespoke way to meet the more widely used team practices.</li><li>Continually acquire new data sources to develop an increasingly rich dataset that characterizes content.</li><li>Creatively explore how to use data to continually add value to Netflix.&nbsp; Translate data questions into flexible methodologies that scale to answer broad problems across the organization.</li><li>Partner closely with Analytics Engineers, Data Scientists, and Product Managers to identify and ingest data from new sources &amp; systems.</li></ul><h2>About you</h2><ul><li>Lazy in a productive way (find tedious work boring and would rather automate it).</li><li>You are not bothered by ambiguity, finding patterns in the most complex of environments and bringing order into chaos gives you joy.</li><li>Thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.</li><li>Have strong beliefs that are weakly held: you can deliberate, and hear, all sides of a discussion and adapt to new perspectives that emerge from it.</li><li>Sharp communicator who can break down and explain complex data problems in clear and concise language.&nbsp;</li><li>Create code that is understandable, simple, and clean, and take pride in its beauty.</li><li>Love freedom and hate being micromanaged. Given context, you're capable of self-direction.</li><li>Deep expertise in data modeling and batch or streaming Spark/Trino data pipeline authoring with the highest regard for data quality.</li><li>Knowledgeable or passionate to learn more about the film industry, particularly the visual effects process.</li></ul>Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. &nbsp;Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here. Netflix is a unique culture and environment.&nbsp; is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.</div>

Data Engineer (L5) - Content Production & Promotion