Seattle Kraken is a professional hockey team committed to building a championship organization that serves fans and the community through sports and entertainment. The Data Engineer in Hockey Operations will be responsible for developing and maintaining the data infrastructure that supports player evaluation and decision-making processes within the organization.
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 that scouts and coaches actually use
- Debugging a pipeline that ingests tracking data
- Meeting with a scout or analyst to understand a new report they would like created
- 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