Analytics Engineer - Playback Data (L5)

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 want to provide a seamless, high-quality streaming experience across a wide range of viewing contexts and devices – from the shows you watch on your phone while on the go, to movie night at home. Supporting such a broad range of streaming experiences requires intricate coordination of systems behind the scenes. To do this, Netflix encodes the content that members love, distributes it to our content delivery network, and adaptively streams it to a wide range of devices.

Our Client Data Science & Engineering team uses some of Netflix’s largest datasets to generate insights about the end-to-end streaming process and the systems that underpin it. Our end goal is to drive higher-quality viewing experiences across the variety of devices and networks our global members use. We’re looking for an analytics engineer to be our steward of playback data, shepherding it from telemetry on user devices all the way through to high visibility dashboards that are used by our engineering and business teams to monitor and improve the Netflix user experience.

• Be at the forefront of using analytics and data engineering skills to ensure that playback data can be used effectively across the company.
• Become one of the core stewards of the playback data model, focusing on monitoring, understanding the playback experience as it evolves within our product, and influencing data best practices for producers and consumers.
• Lead efforts to strengthen and evolve this critical dataset for an increasingly complicated business landscape by developing and owning data pipelines, tools, and data products that make insights widely available across the company.

• Passion for exploring and building highly technical datasets and logging.
• A high level of fluency in SQL and experience in engineering data pipelines.
• Proficiency with Python and/or other languages, including TypeScript or Scala, is a plus.
• Familiarity with software engineering practices (experience with data processing and tool development at scale is a plus).
• Experienced at building compelling, narrative data visualizations with dashboard tools.
• Exceptional spoken and written communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.
• Comfort with ambiguity; ability to thrive with minimal oversight and process.
• To learn more about our team, read here.
   

Generally, 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.

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.