Data Engineer (L5) - Content Data Products

Job Description

Data Engineer

Netflix

Job Details

• Team: Entertainment Industry Data Products (Data Science & Engineering)
• Location: Los Angeles (preferred), Los Gatos, or Remote
• Salary: $380,000.00 - $610,000.00 annually

About the Role

At Netflix, our mission is to entertain the world. 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.

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.

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.

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.
• Strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes.
• 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).

Compensation & Benefits

• Compensation Structure: Consists solely of an annual salary; no bonuses. You choose each year how much of your compensation you want in salary versus stock options.
• Comprehensive Benefits: Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts.
• Additional Benefits: Family-forming benefits, and Life and Serious Injury Benefits.
• Paid Time Off: Full-time salaried employees are immediately entitled to flexible time off. Hourly employees accrue 35 days annually.

Culture & Inclusion

Netflix is a unique culture and environment. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. 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.