
B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
April 16
🏄 California – Remote
☕ Washington – Remote
💵 $100k - $720k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
• Netflix, a major entertainment service provider, seeks a Software Engineer 5 for the Data Clean Room • Join our Ads Measurement & Reporting Engineering squad to build impactful advertising systems • Leverage a mix of first-party and third-party solutions to improve ad effectiveness • Collaborate cross-functionally and work in a fast-paced environment • Contribute to industry technology standards and clean room efforts
• Strong experience building integrations with data clean rooms to support multi-party data sharing for ads use-cases • Strong understanding of GDPR, CCPA, differential privacy, and data governance best practices • Familiarity with digital advertising, adtech/martech ecosystems, and regulatory landscape • Worked closely with ad operations to enable campaign setup, measurement, targeting, reporting, and advertiser needs • Proficiency in SQL, Python, or Spark for querying and analyzing large datasets • Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure) • Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data) • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively • Ability to work cross-functionally with engineering, legal, and marketing teams • Experience working with advertisers, publishers, or clean room technology providers • Experience with audience activation or measurement, and privacy-safe data collaboration
• 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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