Senior Data Engineer, Rockstar Games

• The ideal candidate will be skilled in developing complex ingestions and transformation processes with an emphasis on reliability and performance
• 5+ years of work experience with designing and development of modern data pipelines
• 4+ years of experience with Python for data engineering (building maintainable, testable code) and Spark for large-scale data processing
• Strong software engineering fundamentals – design patterns, testing strategies (unit, integration) code review practices, system design thinking
• Expert-level SQL and deep understanding of query optimization, data structures, and performance tuning
• Track record of building and optimizing terabyte or petabyte-scale data warehouses
• Ability to work independently on loosely-defined projects – gathering requirements, making architectural decisions, and following through completion
• Experience building Real-Time and/or Near-Real-Time data pipelines
• Outstanding communication and interpersonal skills, including the ability to tailor communication style to technical and non-technical audiences

Desirable

• Rockstar is seeking a Senior Data Engineer to join a team building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience across our titles
• The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making
• We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements
• Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools
• Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation
• Architect Data Models for massive-scale MPP engines (Databricks/Spark, SQL, Snowflake) that balance performance, maintainability, and analytical flexibility
• Collaborate with Data Scientists, Analysts, and ML Engineers to gather requirements, understand use cases, and deliver reliable data products
• Identify and implement improvements to our data platform, pipelines, and development processes with autonomy to POC new approaches and technologies
• Mentor, elevate, and learn with the team by sharing insights, maintaining documentation, and establishing engineering best practices
• Own projects end-to-end, from gathering requirements and technical design through implementation, testing, and production support

• Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process