Skip to content

Senior Analytics Engineer

Bungie LogoBungie
View Organization

Salary

$156,000—$183,000 USD

Location

Bellevue, WA / Hybrid / Bungie-Approved Remote Locations

Do you enjoy transforming raw gaming data into meaningful insights that drive player experiences? Do you want to build the foundational data infrastructure that empowers teams to make data-informed decisions? At Bungie, we build worlds that inspire friendships, and we leverage data insights to enhance the player experience.

As a Senior Analytics Engineer at Bungie, you will be responsible for building and extending the data warehouse for our analytics platform, with a primary focus on Marathon. You will design and develop scalable data models that bridge the gap between raw data and business insights. You will work closely with analysts, data scientists, and game developers to understand their analytical needs and transform complex gaming data into accessible, reliable datasets. Most importantly, you will work with a fun, collaborative team devoted to making the best games in the world.

Responsibilities

  • Design, build, and maintain the data warehouse for Marathon's analytics platform using modern data modeling practices
  • Transform raw gaming telemetry into clean, reliable datasets that support analytical workflows
  • Collaborate with analysts and data scientists to understand requirements and translate them into scalable data models
  • Develop and maintain data quality standards, monitoring, and testing frameworks to ensure data reliability
  • Build efficient data transformations and aggregations optimized for BigQuery performance and cost
  • Partner with cross-disciplinary teams including game designers, product managers, and engineers to deliver data solutions
  • Document data models and create self-service resources for data consumers

Required Skills

  • Proficiency with SQL: such as transforming complex granular data to meaningful aggregations; writing performant, cost effective, and repeatable logic; and a strong understanding of SQL concepts such as window functions, CTEs, recursive queries, sharding, and partitioning
  • Ability to develop Python code for data processing, automation, and tooling
  • Experience with data warehousing concepts, dimensional modeling, analytics engineering best practices, and data quality testing frameworks
  • Experience working with big data (TB to PB scale) and optimizing for performance and cost efficiency
  • Strong communication skills: listen to, speak with, and resolve conflicts with members of varied disciplines and external partners in a clear and efficient manner
  • Experience with Google Cloud Platform (GCP) and BigQuery
  • Interest in gaming and understanding how gaming data can be leveraged for analytics and player insights

Nice-to-Have Skills

  • Experience with dbt for data model creation and management
  • Knowledge of game telemetry, player behavior analytics, or live service game metrics
  • Experience with Apache Airflow and workflow management

‌