Analytics Engineer (L5) - Playback Data and Tooling

Netflix is one of the world's leading entertainment services with over 247 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.

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.

The overall market range for roles in this area of Netflix is typically $150,000 - 900,000.

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