Data Visualization Engineer (L5) - Product

Netflix is one of the world's leading entertainment services, with 283 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.

Everything that we build to delight our members, and all of the work we do to figure out how to do that better, relies on our extensive infrastructure, which spans what we rent from AWS to what we build ourselves (we operate our own custom-built content delivery network, ). Because this infrastructure is so central to everything we do, we want to ensure we are using it in the most effective and efficient way. Doing that well starts with great visibility into how we are using our infrastructure, and actionable metrics and analytics to help us take action as needed.

As a Senior Visualization Engineer you will join the team of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to design and build visualization tools that help us make better decisions about our infrastructure, using data. You will work closely with engineering leadership, and our Strategy, Planning & Analysis partners to understand the most important decisions to be made in the Infrastructure space, and will then collaborate with Data Engineers and Data Scientists to tell that story through building and optimizing a performant, user-centric suite of infrastructure visualizations.

The ideal candidate will excel in data analytics, storytelling with data, cross-functional collaboration, and share a passion for continuously improving the way we use data to make the Netflix infrastructure better.

To learn more about our team, read .

In this role, you will:

• Create a vision for how to best tell the story of how Netflix is using our infrastructure and build consensus around this vision with our partners in Engineering Leadership and Strategy, Planning and Analysis.

• Bring together multiple data sources, metrics and analytics to keep our business informed about how our infrastructure systems are performing.

• Work with data and engineering stakeholders to rapidly iterate on your initial designs based on user feedback.

• Work with our Data Engineering partners, and other Data Scientists on the team to make sure we have great data to support the products we are building.

• Provide mentorship and guidance to other analytics practitioners on the team.

• Connect with the larger analytics community at Netflix to bring more visibility to our work.

You are:

• Experienced with delivering visualization tools or suites that enable a wide range of technical and business stakeholders, from software engineers to business leadership

• Experienced at crafting compelling narratives and data visualizations using a variety of tools - especially prefer experience with JavaScript React and D3

• Experienced at developing web applications using JavaScript (TypeScript preferred) and common libraries and frameworks (React, React Router, React Query, Node)  

• Able to work “full stack” to create data pipelines and data models using SQL or Python. Experience with data engineering frameworks like Apache Iceberg or Druid is a plus

• Experienced at telling stories with data and communicating to stakeholders at all levels of the business.

• A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs.

• An exceptional communicator with both technical and non-technical audiences. 

• Comfortable with ambiguity, and thrive with minimal oversight and process.

A few more things to know:  Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart 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 details about our Benefits here. Netflix is a unique culture and environment. 

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.