Data Engineer (L5) - Content Data Products

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Netflix is the world's leading internet streaming service with over 300 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1,000 types of devices, accounting for more than a third of downstream Internet traffic in North America. The Entertainment Industry Data Products team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry “on & off-service”. Our flagship product, Netflix Knowledge Graph, a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications.

We are looking for a Data Engineer with a good blend of Software Engineering skills to own and scale our data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful, scalable, and robust data systems that create and describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with Machine Learning Engineers and Scientists to build scalable data systems.

The ideal candidate will have a strong background in distributed data processing and can demonstrate strong data intuition and end-to-end ownership of our systems - from data collection and processing to running ML systems in production.

Who you are:

• Passionate about data systems: build reliable and trustworthy web-scale data products 

• Highly proficient in at least one of the programming languages (e.g. Python, Java, or Scala) with at least 4 years of software/data engineering experience

• Comfortable with SQL and using big data technologies (e.g. Spark, Trino, Iceberg, etc) on large-scale data.

• You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes

• You are an advocate for data quality. You have a strong opinion on when data audits, unit tests, and documentation can be most effective.

• Excited about learning new business domains, demonstrating excellence, and growing your career 

• Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages)

What you will do:

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data 

• Build robust data quality systems using best-in-class data and ML techniques enabling the team and partners to deliver more business value

• Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and related business domains 

• Understand business requirements and provide data that empowers teams to innovate on top of the entertainment industry data.

• Join a stunning team of data engineers with diverse skill sets, partnering closely with data science, analytics, and business counterparts

Location: Los Angeles (preferred), Los Gatos, or Remote

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. 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 details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion 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.