Data Engineer 5 - Product (QOE)

Netflix is one of the world's leading entertainment services, with over 300 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.

We are focused on delivering an incredible member experience, ensuring that every stream is high-quality, thrilling, and uninterrupted. Quality of Experience (QoE) is one of the key areas where we measure and optimize our product's performance. Within Data Science and Engineering (DSE), we leverage data to measure, optimize, and personalize our product quality, aiming to provide a delightful, thrilling, and engaging experience for our members.

In this role, you’ll collaborate with data engineers, software engineers, and QoE analytical engineers to build reliable, scalable data pipelines, transform client and server telemetry into core performance metrics, and surface QoE insights. The team is small, so the role requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to performance metrics and tools.

• You strive to write elegant code and are comfortable with independently picking up new technologies.

• You master at least one major programming language (preferably Python) and are comfortable working with SQL.

• You enjoy helping teams push the boundaries of analytical insights, using data to create new product features, and powering machine-learning models.

• You have a strong background in at least one of the following: distributed data processing or software engineering of data services.

• You are familiar with big data technologies like Spark and Flink and comfortable working with web-scale datasets.

• You are passionate about the end-to-end software development lifecycle, focusing on automation, testing, CI/CD, and documentation.

• At Netflix, you own your code, services, and pipelines. You have practical, solid DevOps and Operation fundamentals, and you enjoy total ownership of your domain.

• You have an eye for detail, good data intuition, and a passion for data quality.

• You relate to and embody many of the aspects of the Netflix Culture. You love working independently while also collaborating and giving/receiving candid feedback.

• You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks.

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.  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.

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.