Riot Games is seeking a Principal Data Engineer for Personalization within Central Product Insights. This on-site role based in Los Angeles, United States, will design, build, and maintain scalable data pipelines and models that power centralized player data and publishing activity systems, enabling insights across onboarding, engagement, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure a reliable, performant data infrastructure that directly improves player experiences. Responsibilities: Design, build, and optimize scalable ETL pipelines for structured and semi-structured data; design data models that capture an end-to-end view of in- and out-of-game experiences; architect robust, maintainable, high-performance data solutions; automate data workflows to improve processing efficiency; mentor data engineers; optimize query performance and resolve bottlenecks; evaluate and adopt new tools and methodologies; support cost optimization; ensure data quality, governance, and regulatory compliance (GDPR, CCPA); contribute to Riot's Data Engineering discipline by shaping standards, tooling, and best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field; 8+ years of experience in tech-focused publishing or marketing; 8+ years in data engineering or related field; strong expertise in Python, Go, Spark, Scala, SQL, Airflow, and dbt; proficiency with cloud platforms (AWS or GCP) and Databricks; experience designing efficient, scalable data models across larg

Riot Games is seeking a Principal Data Engineer for Personalization within Central Product Insights. This on-site role based in Los Angeles, United States, will design, build, and maintain scalable data pipelines and models that power centralized player data and publishing activity systems, enabling insights across onboarding, engagement, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure a reliable, performant data infrastructure that directly improves player experiences. Responsibilities: Design, build, and optimize scalable ETL pipelines for structured and semi-structured data; design data models that capture an end-to-end view of in- and out-of-game experiences; architect robust, maintainable, high-performance data solutions; automate data workflows to improve processing efficiency; mentor data engineers; optimize query performance and resolve bottlenecks; evaluate and adopt new tools and methodologies; support cost optimization; ensure data quality, governance, and regulatory compliance (GDPR, CCPA); contribute to Riot's Data Engineering discipline by shaping standards, tooling, and best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field; 8+ years of experience in tech-focused publishing or marketing; 8+ years in data engineering or related field; strong expertise in Python, Go, Spark, Scala, SQL, Airflow, and dbt; proficiency with cloud platforms (AWS or GCP) and Databricks; experience designing efficient, scalable data models across larg