Data Engineer, Hockey Operations

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

Responsibilities:

• Building tools that help hockey operations staff make better decisions, faster
• Ability to take loosely defined data requirements and deliver practical solutions
• Choosing simple, reliable solutions over clever ones
• Owning outcomes from problem through delivery, including incorporating user feedback
• Shipping iteratively and learning from how the data is actually used
• Noticing data quality or reliability issues early and addressing them proactively
• Eagerness to learn the domain, grow as an engineer, and be open to mentorship

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