Analytics Engineer at Florida Panthers

The Florida Panthers enter the 2025-26 season as the two-time defending Stanley Cup Champions, having gone to the Stanley Cup Final in each of the past three seasons. The National Hockey League’s southernmost team, the Panthers have reached the postseason in a club-record six consecutive campaigns. The Panthers operate four facilities in Broward County, Florida: Amerant Bank Arena in Sunrise, the Panthers IceDen in Coral Springs, the new state-of-the-art practice facility Baptist Health IcePlex in Fort Lauderdale, as well as the renovated War Memorial Auditorium, which hosts concerts and events for the South Florida faithful. An organization with deep roots in the community, the Panthers are owned by Vincent J. Viola, a graduate of the United States Military Academy at West Point and a veteran of the U.S. Army. Emphasizing a culture of selfless service both on and off the ice, the Panthers pillar program ‘Heroes Among Us’ honors a United States military veteran at every game and the Florida Panthers Foundation has four main focuses including veterans affairs, children's health and education, raising awareness for the endangered Florida panther and growing youth hockey. Job Title: Analytics Engineer Department: Panther Insights Reports To:  Director, Business Intelligence FLSA: Exempt Employment Type: Full-Time Location: Florida Panthers Hockey Club Position Overview We are seeking an Analytics Engineer with 2–4 years of experience to join our Business Intelligence team. This role is designed for a technical problem-solver who enjoys architecting the data logic that powers a championship-winning commercial strategy. Operating 100% on-site at our Sunrise offices, you will collaborate directly with our team in a fast-paced environment to serve as the critical bridge between our technical data architecture and the mathematical frameworks that dictate our business operations. This position is perfect for someone with a strong foundation in SQL and Python, a passion for working with data at scale, and a desire to be at the heart of the action in the sports and entertainment industry. Key Responsibilities • Architect and define the core data models and semantic layers within Amazon Redshift to serve as the primary foundation for all organizational reporting and Tableau visualizations. • Write and maintain high-performance Python and SQL to automate complex data streams, utilizing AWS services to ensure our infrastructure is efficient and scalable. • Act as a technical consultant to our data analysts, translating business requirements into precise data structures that allow the team to influence departmental strategy. • Build and implement automated testing and monitoring frameworks to guarantee 100% data integrity before insights reach the executive decision-making table. • Assist in the containerization and deployment of data workflows using Docker and Prefect, transforming manual or legacy processes into scalable, production-grade solutions. • Continuously optimize query performance and data warehouse logic to ensure that diverse commercial data streams are unified into fast, revenue-driving insights, while minimizing cost. • Build and maintain automated deployment pipelines (CI/CD). • Qualifications Required: • Bachelor’s degree in Computer Science, Statistics, Data Engineering, Information Systems, or a related technical field. • 2–4 years of experience in analytics engineering, data engineering, database management, or a similar data-intensive role. • Advanced proficiency in SQL, with a focus on writing optimized, cost-efficient queries and managing complex logic within Redshift. • Solid experience using Python for data processing, automation, and interacting with APIs. • Hands-on experience designing and maintaining production-level ETL/ELT pipelines and data models. • Familiarity with Tableau, specifically in managing data sources and ensuring a clean, performant semantic layer for end-users. Preferred: • Experience with workflow orchestration using Prefect and containerization with Docker. • Knowledge of cloud-based infrastructure within the AWS ecosystem (S3, Lambda, etc.). • Experience working with large-scale datasets for analytics or machine learning initiatives. • Experience building automated data quality checks and validation layers within an ETL/ELT lifecycle • A passion for sports analytics or previous experience within the sports and entertainment industry. Team & Environment You will join a lean, fast-moving Business Intelligence team where creativity and speed are essential. We operate in a structured environment, but our tasks are often open-ended and require someone who learns quickly and is creative with technical solutions. We are looking for a self-starter who thrives in an agile setting and is eager to contribute to the continued success of the Florida Panthers. Position Type/Expected Hours of Work: ...