Data Engineer (L5) - Games

Netflix

117d • $170,000 - $720,000

About The Position

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be joining us at an exciting time as we roll out more games on both mobile and cloud and be in a position to help us redefine what a Netflix subscription means for our members around the world. The Data Science and Engineering (DSE) team uses data, analytics, and sciences to improve various aspects of our business. As a Senior Data Engineer focused on Core Metrics and Metadata, you will be a foundational partner, leveraging high-quality data to support end-to-end analytics needs for our Games partners.

Requirements

• 7+ years of hands-on experience in software development with a deep focus on building high-performance data systems.
• 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).
• 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.

Nice To Haves

• Exceptional communication skills and a proven ability to collaborate effectively with non-technical stakeholders.
• 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.

Responsibilities

• Architect the foundation for all business measurements across our 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 (facts, dimensions, aggregations) optimized for performance, partitioning, and backfill considerations.
• Build and optimize robust, high-volume data pipelines using distributed processing frameworks like Spark, Flink, Python, and Scala.
• 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.
• Partner with Games Product, Data Science, and Engineering stakeholders to translate their forecasting, research, and analytical needs into scalable data solutions.
• 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.

Benefits

• Health Plans
• Mental Health support
• 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
• 35 days annually for paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees