Position Overview
Riot’s Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience worldwide. As a Principal Data Engineer within the Product Insights team supporting Publishing and eSports in Los Angeles, USA, you will design, build, and maintain scalable data pipelines and data models that power critical data products. This role is essential for understanding player onboarding funnels, engagement patterns, support efficiency, and content effectiveness while collaborating across diverse teams.
Key Responsibilities
- Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, pubsports, and other out-of-game data sets.
- Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, ensuring accuracy, scalability, and long-term usability.
- Architect and implement robust, maintainable, and high-performance data solutions.
- Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas.
- Mentor data engineers across all levels, setting best practices and fostering technical growth.
- Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
- Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
- Support cost optimization by ensuring scalable and efficient data solutions.
- Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
- Contribute to Riot’s Data Engineering discipline by shaping infrastructure, standards, tooling, and organizational best practices.
Required Qualifications
- Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years experience in data engineering or a related field.
- Strong expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt.
- Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
- Expertise in designing efficient and scalable data models with large data sets across multiple teams.
- Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
- Proven experience mentoring and guiding other engineers.
Benefits & Perks
- Open Paid Time Off policy that supports work/life balance.
- Flexible Work Schedules to accommodate personal needs.
- Medical, Dental, and Life Insurance ensuring comprehensive care.
- Parental Leave for you, your spouse/domestic partner, and children.
- 401k with Company Match to support your future.