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Data Visualization Engineer 5 – Product
| Company | Netflix |
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| Location | California, USA |
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| Salary | $170000 – $720000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 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.
Responsibilities
- 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.
Preferred Qualifications
- Experience with JavaScript React and D3 preferred
- TypeScript preferred
- Experience with data engineering frameworks like Apache Iceberg or Druid is a plus
