About The Position

Riot’s Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide. As a Staff Data Engineer within the Technology Strategy & Ops team supporting Central Technology, you will act as a hands-on technical lead to design, build, and maintain scalable data pipelines and models that power critical data products and processes, including technology cost and usage dashboards, customer monthly business reviews, cost optimization efforts and monthly financial technology usage attributions. All of these support the efficient use of technology, while providing optimal player experiences. You will collaborate with technologists, strategists and finance specialists to ensure our data infrastructure is reliable and performant. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Requirements

  • Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 6+ years experience in data engineering or a related field.
  • Expert-level hands-on coding skills, specifically in Python, SQL, and tools like Airflow, Databricks and dbt.
  • Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
  • Demonstrated ability to operate as Lead Individual Contributor and work cross-functionally.
  • Demonstrated experience mentoring and developing less senior engineers.

Nice To Haves

  • Experience processing cloud billing data (e.g. AWS CUR, Azure Cost Management) or complex financial datasets
  • Proficiency in cloud infrastructure (AWS or GCP)

Responsibilities

  • Actively design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights and Finance use cases that analyze technology usage and costs (e.g. AWS CUR).
  • Design and implement complex data models using industry best practices that capture a complete view of technology usage and costs, while ensuring accuracy, scalability, and long-term usability.
  • Partner closely with internal stakeholders to understand their needs and craft solutions that drive their ultimate outcomes.
  • Architect and implement robust, maintainable, and high-performance data solutions.
  • Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for finance processes.
  • Mentor junior data engineers through code reviews and technical guidance, setting best practices and fostering technical growth.
  • Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
  • Ensure data quality and governance.

Benefits

  • Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules.
  • We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match.
  • Check out our benefits pages for more information.
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