Senior Data Engineer, Hockey Operations

The Florida Panthers • Fort Lauderdale, FL

10d • Onsite

About The Position

As 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.

Requirements

• 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
• 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

Nice To Haves

• Prior experience working in sports analytics, sports technology, or with sports performance data is a significant asset
• Familiarity with hockey analytics concepts, NHL data sources, or sports performance data strongly preferred

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

Benefits

• We strive to make every employee feel valued and respected for who they are and the unique contributions they make.
• We believe that a diverse and inclusive company is a more innovative and successful company, which is why we aim to infuse diversity, equity, and inclusion (DE&I) into all aspects of our culture and our business.
• We welcome all to apply and join our team.
• We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior