Netflix-posted 3 months ago
$170,000 - $720,000/Yr
Full-time • Senior
5,001-10,000 employees

Netflix is one of the world's leading entertainment services, with over 300 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. We are in the midst of major transformative developments for the Netflix product with the growth of our advertising-supported plan, Games, and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and scale of the demands on our platform infrastructure. The Platform Data Engineering team builds data products that enable the architecting of reliable, scalable, and efficient platforms at the internet scale. We partner with our platform engineering teams to empower them with data for smarter decision-making and innovative solutions to challenging problems. This role is specifically focused on enabling our cloud platforms to scale effectively and efficiently. Through our data products we enable engineering teams which build and manage our compute platform, our data platforms, network architecture, capacity and demand planning.

  • Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
  • Develop a deep understanding of the cloud infrastructure domain at Netflix
  • Partner with the platform engineering and finance teams to understand platform efficiency goals and provide data that will empower teams to improve efficiency
  • Maintain and rethink existing datasets and pipelines
  • Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering, etc
  • Passionate about building intuitive data products
  • Highly proficient in at least one of Java, Python or Scala (Scala preferred) with at least 6 years of data engineering experience
  • Advanced-level SQL skills in a complex data environment
  • At least 4 years of experience in engineering data pipelines using big data technologies (Spark, Presto, Flink, etc.) on medium to large-scale data sets
  • Comfortable working cross-functionally with multiple types of stakeholders and groups
  • Able to successfully lead large, complex systems design and implementation challenges independently
  • Prior experience with AWS cloud resources (S3, EC2, RDS etc) strongly preferred
  • 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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