Senior Data Engineer, Hockey Operations- Organization: Florida Panthers Hockey Club
- Department: Hockey Operations - Research & Development
- Reports To: Director of Research and Development
- FLSA Status: Exempt (Salaried)
- Employment Type: Full-Time
- Location: Baptist Health IcePlex, Fort Lauderdale, FL - On-Site
- Schedule: Flexibility required for evenings, weekends, and holidays during key periods of the hockey calendar (Trade Deadline, Amateur Draft, Training Camp)
Job SummaryAs a Senior Data Engineer, you will serve as a foundational member of the R&D team, responsible for designing, building, and maintaining the data infrastructure that powers our hockey analytics platform. You will lead engineering initiatives across our data warehouse, pipeline architecture, and modeling systems - ensuring that analysts, scouts, and hockey operations staff have reliable, well-structured data to work from every day.
This role requires strong technical depth, excellent judgment in data architecture decisions, and the ability to collaborate closely with non-technical hockey operations stakeholders. You will report directly to the Director of Research and Development and play a key role in shaping how the organization builds and scales its analytical advantage.
Essential Duties & Responsibilities- Architect, develop, and maintain scalable ETL pipelines supporting both batch and real-time data workflows across Hockey Operations
- Design and optimize data warehouse structures, storage strategies, and compute workflows on Google Cloud Platform for long-term reliability and performance
- Integrate multiple sources of data from both existing and emerging technologies to continuously improve the organization's analytical platform
- Drive automation initiatives to reduce manual workflows and improve pipeline observability through monitoring, alerting, and logging
- Partner with analysts, scouts, and Hockey Operations staff to translate business questions into well-engineered, scalable data solutions
Qualifications- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field required; Master's degree preferred
- Minimum of 4-6 years of professional experience in data engineering, database management, or closely related roles
- Demonstrated experience leading data engineering projects or mentoring junior engineers
- Prior experience working in sports analytics, sports technology, or with sports performance data is a significant asset
- Expert proficiency in SQL (PostgreSQL strongly preferred) and Python for data engineering, scripting, and pipeline development
- Hands-on, cloud engineering experience with GCP, AWS, or Azure
- Strong experience with data modeling, data warehouse design, and building production-grade ETL pipelines
- Strong analytical and problem-solving skills with a passion for building things that last
- Familiarity with hockey analytics concepts, NHL data sources, or sports performance data strongly preferred
Position Type / Expected Hours of WorkThis is a full-time exempt (salaried) position. You will be on-site at our facility in Fort Lauderdale, Florida, working alongside Hockey Operations staff daily. Must be able to work evenings, weekends, and holidays during key periods of the hockey schedule.
