Staff Data Engineer - League of Legends
Los Angeles · 6+ years experience · Posted Oct 5, 2026
At a glance
- Experience
- 6+ years experience
- Location
- Los Angeles
About the role
- As a Staff Data Engineer on the League of Legends Data Engineering team, you will collaborate with product managers, analysts, and engineers to ensure our data is reliable, performant, and scalable.
- You will design and champion data standards to ensure our systems grow with our player base.
- This role will be based out of our Los Angeles headquarters.
Responsibilities
- Design and lead the implementation of architectures that support advanced analytics and machine learning models
- Develop scalable, medallion-oriented data models that cater to both current and future needs where data volume grows significantly.
- Design and implement ETL processes and data integration strategies to handle diverse data sources and formats
- Liaison between our team, the League of Legends team, and service teams as well as central platform teams to understand their needs and provide solutions
- Analyze existing systems for bottlenecks and inefficiencies, and implement solutions to optimize data flow and processing for high-volume, complex datasets
- Lead initiatives in data governance, data quality, and metadata management that ensure data accuracy, consistency, and security
- Explore and evaluate new technologies, tools, and data management practices to enhance the capabilities of the data platform
- Collaborate closely with machine learning engineers and analysts, providing them with the data required for complex analytics, machine learning models, and data exploration
- Communicate complex data concepts and the value of data projects to stakeholders at all levels of the organization, influencing data-driven decision-making and strategy
- On-call responsibility for production systems powering critical product observability and machine learning models
Requirements
- 6+ years of relevant experience developing scalable data systems
- Experience mentoring in Data Engineering best practices
- Experience setting the technical direction of projects
- Extensive experience designing standard data models & event-driven architecture
- Extensive experience modeling data to deliver business insights
- Experience developing solutions in DBT, Spark, SQL, and Airflow or equivalent data technologies
- Experience working with Python
- Experience with cloud computing technologies (AWS or equivalent)
Benefits
- Open paid time off policy
- Flexible work schedules
- Medical insurance
- Dental insurance
- Life insurance
- Parental leave for you, your spouse/domestic partner, and children
- 401k with company match
Skills
- DBT
- Spark
- SQL
- Airflow
- Python
- AWS
