Staff Data Engineer (Data Engineering)

TL;DR

Staff Data Engineer (Data Engineering): Designing, building, and optimizing scalable ETL pipelines and complex data models that power critical data products for technology cost and usage insights with an accent on architecting robust data solutions and ensuring data accuracy, scalability, and long-term usability. Focus on automating financial technology usage attributions, optimizing query performance, and resolving pipeline bottlenecks to improve data accessibility.

Location: Los Angeles, USA (Los Angeles Only)

Salary: $176,700–$247,000 USD

Company

Riot Games is a company focused on creating games and experiences that enhance the player experience at massive scale.

What you will do

• Actively design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights and Finance use cases.
• Design and implement complex data models using industry best practices that capture technology usage and costs, ensuring accuracy and scalability.
• Partner with internal stakeholders to understand their data needs and craft solutions.
• Architect and implement robust, maintainable, and high-performance data solutions.
• Automate workflows to reduce manual intervention and enhance data processing efficiency, including finance processes.
• Mentor junior data engineers through code reviews and technical guidance.

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 in Python, SQL, and tools like Airflow, Databricks, and dbt.
• Expertise in designing efficient and scalable data models with large data sets.
• Demonstrated ability to operate as a Lead Individual Contributor and work cross-functionally.
• Demonstrated experience mentoring and developing less senior engineers.

Nice to have

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

Culture & Benefits

• Open paid time off policy and flexible work schedules.
• Medical, dental, and life insurance.
• Parental leave for you, your spouse/domestic partner, and children.
• 401k with company match.
• Collaborative teams where you are empowered to bring your unique perspective.