Data Engineer (L5)

Netflix

Los Gatos, California, USA
Base: $380,000.00 - $610,000.00; bonus/equity: no ...
Remote (with occasional visits to los gatos)
Proficiency in java, scala, or python
Strong sql skills
Experience with distributed data processing
Netflix is seeking a Data Engineer (L5) to join their team in Los Gatos, California, or for remote candidates within the US. The role focuses on building systems for efficient data processing, requiring a strong background in programming and big data technologies

Job Summary

  • The role involves building systems to process data efficiently and modeling data to power analytics across domains like Growth, Finance, and Content.
  • Candidates must have a strong background in distributed data processing or software engineering of data services and be comfortable working with big data technologies.
  • Netflix offers comprehensive benefits including health plans, stock options, and flexible time off, with compensation ranging from $380,000 to $610,000.

Matching Summary

Match Score: 85

Netflix is seeking a Data Engineer (L5) to join their team in Los Gatos, California, or for remote candidates within the US. The role focuses on building systems for efficient data processing, requiring a strong background in programming and big data technologies.

Salary

Base: $380,000.00 - $610,000.00; Bonus/Equity: No bonuses; salary vs stock options chosen annually; Benefits: Comprehensive health, 401(k), stock options, flexible PTO

Skills & Requirements

Must-have

  • Proficiency in Java, Scala, or Python
  • Strong SQL skills
  • Experience with distributed data processing
  • Familiarity with Spark or Flink
  • Knowledge of web-scale datasets

Nice-to-have

  • Elegant code writing style
  • Independent technology learning
  • Strong communication and collaboration
  • Passion for data quality
  • Ability to work in ambiguous environments

Key Requirements

  • At least one major programming language proficiency
  • Background in distributed data processing or data modeling
  • Comfortable with web-scale datasets

Work Rights

Not specified

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