Data Engineer (L5) - Games jobs in United States
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Netflix · 3 hours ago

Data Engineer (L5) - Games

Netflix is one of the world's leading entertainment services, with a focus on delivering new gaming experiences to its members. As a Senior Data Engineer focused on Core Metrics and Metadata, you will architect the foundation for business measurements across the games portfolio, ensuring data quality and collaborating with various stakeholders to develop scalable data solutions.

Digital EntertainmentMedia and EntertainmentTVVideo Streaming
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

As a Senior Data Engineer, your focus will be on architecting the foundation for all business measurements across our games portfolio on all platforms
Own Core Metric Systems: Design, develop, and maintain the single source of truth for core business and operational metrics (e.g., DAU/MAU, retention, engagement rates). Ensure metric consistency, explainability, and reliability for high-stakes business decisions
Data Modeling Architecture: Create advanced analytical data models (facts, dimensions, aggregations) optimized for performance, partitioning, and backfill considerations
Implement High-Reliability Pipelines: Build and optimize robust, high-volume data pipelines using distributed processing frameworks like Spark, Flink, Python, and Scala. Master complex processing patterns (batch, CDC, incremental loads, upserts) and address challenges like event-time partitioning, late data handling, and windowing for real-time applications
Data Governance and Quality Leadership: Define and enforce data quality standards (accuracy, completeness, consistency, validity) at scale. Implement data lineage tracking and monitor metadata to provide the necessary context for interpreting core metrics
Strategic Collaboration: Partner with Games Product, Data Science, and Engineering stakeholders to translate their forecasting, research, and analytical needs into scalable data solutions. Collaborate on strategies for metric collection, dashboarding, and integration with analytical tools
Technical Leadership: Proactively identify and resolve technical debt, increase automation, and champion best practices in data engineering and software development across the team. Mentor junior team members and help raise the technical bar for the entire DSE organization

Qualification

Data ModelingDistributed ProcessingData Pipeline DevelopmentProgramming (Python/Scala)Data GovernanceAnalytical SkillsCommunication SkillsCollaboration SkillsLeadership Skills

Required

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)
Demonstrated experience building production-grade data pipelines using distributed processing frameworks (e.g., Spark, Flink, Hive/Hadoop), with a strong understanding of distributed systems and performance optimization
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
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
Humble confidence and the awareness to recognize when to course-correct, valuing continuous learning and improvement

Benefits

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
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

Company

Netflix is an online streaming platform that enables users to watch TV shows and movies.

H1B Sponsorship

Netflix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)

Funding

Current Stage
Public Company
Total Funding
$63.91B
Key Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M

Leadership Team

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Gregory Peters
Co-CEO
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Ted Sarandos
Co-CEO
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Company data provided by crunchbase