
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.
- employees
Founded 1997
👥 B2C
🛍️ eCommerce
📱 Media
💰 $20M Post-IPO Equity on 2022-01
April 12
🗽 New York – Remote
💵 $170k - $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.
- employees
Founded 1997
👥 B2C
🛍️ eCommerce
📱 Media
💰 $20M Post-IPO Equity on 2022-01
• Architect, strengthen, and expand core data products for Netflix' Ads business • Collaborate with stakeholders to understand needs and model tables • Develop large scale data processing solutions • Partner with Analytics Engineers, Data Scientists, and Software Engineers to create intuitive data products • Develop best practices for governance of sensitive data sets • Build strong partnerships with data scientists and ML practitioners
• Strong data intuition and analytical mindset • Experience with advertising data (preferred) • Understanding of how to build for privacy and business impact • High tolerance for ambiguity and fast-changing context • Hands-on experience building batch or streaming production data pipelines with frameworks like Spark, Flink or Hive/Hadoop • Knowledge in data modeling and establishing data architecture across multiple systems • Ability to create understandable, simple, and clean code
• 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 • 35 days annually for paid time off for full-time hourly employees • Flexible time off for full-time salaried employees
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