Data Engineer (l5) - Growth Insights And Foundations

Netflix

Remote
Base: $170,000 - $720,000; bonus/equity: stock opt...
Proficiency in jvm languages and sql
Experience with distributed data processing frameworks
Building scalable and reliable data systems
The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members

Job Summary

  • The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members.
  • Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
  • Netflix is an equal-opportunity employer that celebrates diversity and approaches inclusion seriously and thoughtfully.

Matching Summary

The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members.

Salary

Base: $170,000 - $720,000; Bonus/Equity: Stock options available; Benefits: Comprehensive health and retirement plans plus paid leave

Skills & Requirements

Must-have

  • Proficiency in JVM languages and SQL
  • Experience with distributed data processing frameworks
  • Building scalable and reliable data systems
  • Knowledge of APIs and transport protocols
  • High availability and 24x7 product support
  • Observability and monitoring design

Nice-to-have

  • Product mindset and business understanding
  • Collaborative working style
  • Agile environment adaptability
  • Passion for quality and ownership
  • Comfortable with new technologies
  • Strong operational awareness

Key Requirements

  • Proficiency in Java or Scala
  • Experience with Spark or Flink
  • Experience supporting 24x7 high availability products
  • Strong data engineering fundamentals
  • Experience building multi-tenant scalable systems

Work Rights

Not specified

Tailored Resume

Cover Letter