
10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
🕒 June 27
🇺🇸 United States – Remote
💵 $380k - $610k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
👻 Ghost score 18%
Where this job comes from
Posted on Netflix's careers page, not through a job board
First seen by Remote Rocketship June 27
Still open on Netflix's site. Checked 3 hours ago.

10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
• Architect, strengthen, and expand the core data products that scale Ads business • Collaborate with stakeholders to understand needs and model tables using software engineering and data warehouse best practices • Develop large scale data processing solutions for timely delivery of high quality data • Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products • Develop best practices for governance of data sets with sensitive information • Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners.
• Experience with data at scale • Experience with advertising data (preferred) • Building batch or streaming production data pipelines • Knowledge in data modeling and establishing data architecture across multiple systems • Command of programming languages such as python, scala or java • Data exploration using sql • Building performant data pipelines and optimizing existing workflows for new features • Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc. • Experience with sourcing and modeling data from application APIs.
• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • 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.
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