Address
Form of work
SalaryLos Gatos, California
Data Science and Engineering
Netflix is one of the world's leading entertainment services with over 260 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.
Our goal at Netflix is to make it effortless to stream content across a wide range of viewing contexts and devices. It should be seamless to stream the same video while commuting underground on the subway, watching in a desktop browser, or projecting in HD at home. Supporting such a broad range of streaming experiences requires intricate coordination of systems behind the scenes. Netflix encodes content into files that are distributed to our content delivery network, then adaptively streamed by the wide set of devices our members use to watch the content they love.
Our data science and analytics team takes a holistic approach to developing a better understanding of each area (encoding, content delivery, streaming client devices and apps), measuring and improving these components, as well as exploring how these components ultimately impact member experience. Our end goal is to drive higher-quality viewing experiences across the variety of devices and networks our global members use.
As a senior Analytics Engineer, you’ll be at the forefront of using analytics and data engineering skills on big Data and working with other Analytics Engineers, data scientists, data engineers, and business teams. In particular, you’ll be focused on monitoring and understanding the playback experience for members on our ads-supported plans, which require even more complex technical coordination behind the scenes than our legacy product. You will lead efforts to strengthen and evolve this critical dataset for an increasingly complicated business landscape by developing and maintaining data pipelines, tools, and data products that make encoding insights widely available across the company.
To learn more about our team, read here.
About you:
- Passion for exploring and building technical datasets and logging.
- Highly fluent in SQL for working with big data. Experienced in engineering data pipelines.
- Proficient with scripting languages such as Python and JavaScript; familiarity with Scala is a plus.
- Familiarity with software engineering practice (experience with data processing and tool development at scale is a plus).
- Experienced at building compelling, narrative data visualizations with dashboard tools.
- Exceptional 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.
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.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.
