Data Engineer 5 - Privacy

Netflix

USA, Remote
Base: $380,000.00 - $610,000.00; bonus/equity: not...
Remote
8+ years software or data engineering experience
Proficiency in java, python, or scala
Advanced sql skills in complex environments
Netflix is seeking a Data Engineer focused on privacy to build scalable data management frameworks as part of their Privacy and Legal Data Engineering pod. The role involves working with a range of data technologies and requires strong expertise in data systems, privacy, and compliance with global regulations

Job Summary

  • The role involves building robust, scalable data frameworks to ensure high standards of data privacy and hygiene across 190+ countries.
  • Candidates will engineer efficient data pipelines using technologies like Spark, Presto, Flink, and Kafka to process structured and unstructured data.
  • Netflix offers a unique compensation structure where employees choose their salary versus stock options split annually within a market range.

Matching Summary

Match Score: 85

Netflix is seeking a Data Engineer focused on privacy to build scalable data management frameworks as part of their Privacy and Legal Data Engineering pod. The role involves working with a range of data technologies and requires strong expertise in data systems, privacy, and compliance with global regulations.

Salary

Base: $380,000.00 - $610,000.00; Bonus/Equity: Not specified (choose salary vs stock); Benefits: Comprehensive health, 401(k), flexible time off

Skills & Requirements

Must-have

  • 8+ years software or data engineering experience
  • Proficiency in Java, Python, or Scala
  • Advanced SQL skills in complex environments
  • Experience with Spark, Presto, Flink, Kafka
  • Designing scalable data management frameworks

Nice-to-have

  • Passion for consumer-centric data privacy
  • Cross-functional stakeholder collaboration
  • Mentoring and inspiring teammates
  • Background in large consumer businesses

Key Requirements

  • At least 8 years of software/data engineering experience
  • Strong track record in building privacy-centric data systems
  • Ability to lead large, complex system design independently

Work Rights

Not specified

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