Netflix

Data Engineer, L5 – Games

Netflix

full-time

Posted on:

Location Type: Remote

Location: WashingtonUnited States

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About the role

  • Architect the foundation for all business measurements across games portfolio on all platforms
  • Design, develop, and maintain the single source of truth for core business and operational metrics (e.g., DAU/MAU, retention, engagement rates)
  • Create advanced analytical data models optimized for performance, partitioning, and backfill considerations
  • Build and optimize robust, high-volume data pipelines
  • Define and enforce data quality standards at scale
  • Partner with Games Product, Data Science, and Engineering stakeholders to translate their needs into scalable data solutions
  • Proactively identify and resolve technical debt, increase automation, and mentor junior team members

Requirements

  • 7+ years of hands-on experience in software development with a deep focus on building high-performance data systems that collect, process, and govern high-volume telemetry data for analytics
  • Expert-level Data Modeling: Proven mastery of telemetry (event schema design) and analytical modeling (dimensional modeling, aggregation strategies, partitioning considerations)
  • Distributed Processing Mastery: Demonstrated experience building production-grade data pipelines using distributed processing frameworks (e.g., Spark, Flink, Hive/Hadoop)
  • Advanced Data Processing: Direct experience with complex batch and streaming data processing patterns, including CDC, incremental loads, event-driven architectures, and robust error handling
  • Expert-level programming proficiency in Python and/or Scala/Java and mastery of SQL
  • Strong Partnership Skills: Exceptional communication skills and a proven ability to collaborate effectively with non-technical stakeholders to ensure metrics are accessible, reliable, and actionable
  • Proven ability to drive and own complex, cross-functional engineering projects with a high degree of autonomy
Benefits
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modelingtelemetrydimensional modelingSQLPythonScalaJavadata pipelinesbatch processingstreaming data processing
Soft Skills
communication skillscollaborationmentoringproblem-solvingautonomy