Data Engineer, Hockey Operations

Seattle Kraken is building a championship organization that serves fans and partners through world-class sports and entertainment. The Data Engineer will be part of the Hockey Operations Research & Development team, responsible for building and maintaining data infrastructure to support player evaluation, trade analysis, and real-time decision making.

Responsibilities:

• Building and maintaining the data infrastructure that powers player evaluation, trade analysis, draft preparation, and real-time decision making across the organization
• Design & implement pipelines, optimize data storage & retrieval, and help ship reliable, performant infrastructure
• Debugging a pipeline that ingests tracking data, meeting with a scout or analyst to understand a new report, and working with an analyst on feature engineering for a new model

Requirements:

• 1+ year of data or analytics engineering experience in a production environment
• Ability to independently design and maintain data pipelines in Python
• Experience with ETL development, data modeling, and data warehousing
• Experience with PostgreSQL or other relational databases at scale
• Comfort working directly with non-technical users and translating their feedback into product decisions
• Clear written communication and the ability to work with high autonomy
• Experience with AWS or a similar cloud ecosystem
• Experience with a modern data stack: cloud warehouse (Snowflake, BigQuery, Redshift), orchestration (Airflow/dbt) and pipeline tooling
• Experience working with high-frequency spatial or event-stream data (e.g. NHL puck and player tracking, optical tracking systems, or similar)
• Passion for hockey or sports