1

Data Engineer Sports Analytics Jobs in Florida (NOW HIRING)

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs)

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data Engineers can create and integrate application programming interfaces (APIs)

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs)

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

For example, you'll create algorithms and conduct statistical analysis. Overall, you'll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs)

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs)

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data Engineers can create and integrate application programming interfaces (APIs)

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Collaborate with Analytics Engineers and Analysts to align data models with downstream requirements. * Contribute to CI/CD pipelines and infrastructure-as-code practices for data assets. * Document ...

Data Engineer

Miami, FL

$109K - $131K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Data Engineer

Tampa, FL · On-site

$86K - $138K/yr

Unified analytical platforms - Lead development of unified analytical platforms delivering real ... Enterprise data engineering expertise - Cloud architecture, ingestion workflows, unified data ...

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

Designing and building out a core data layer to power all CBS Sports Digital products, ingesting, processing, and storing data from hundreds of sources over different transports and data stores.

New

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Collaborate with data scientists, analysts, and application teams to support data needs * Ensure ...

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Enterprise ...

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Enterprise ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer Location: Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month ... Collaborate with BI and Finance teams to support reporting and analytics requirements. * Ensure ...

next page

Showing results 1-20

Data Engineer Sports Analytics information

How does a Data Engineer in Sports Analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. These roles often require proficiency in data analysis tools, programming languages, and sports analytics knowledge. Salaries can vary based on the organization and geographic location.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Python are commonly used in sports analytics roles. Transitioning to sports analytics often requires knowledge of the sport and relevant data sources.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What does a Data Engineer in Sports Analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a Data Engineer in Sports Analytics, and why are they important?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts and data engineers to analyze player performance, game strategies, and injury data. These roles typically require skills in data management, statistical analysis, and familiarity with sports analytics tools like R or Python. Data professionals help teams make data-driven decisions to improve performance and competitiveness.

Is 40 too late for data science?

For a Data Engineer in sports analytics, starting a career at 40 is feasible, especially with relevant skills in programming, data management, and analytics tools. Many professionals transition into data roles later in life, and experience in related fields can be an advantage. Continuous learning and certifications can help accelerate entry into the field regardless of age.
What are popular job titles related to Data Engineer Sports Analytics jobs in Florida? For Data Engineer Sports Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Engineer Sports Analytics jobs in Florida look for? The top searched job categories for Data Engineer Sports Analytics jobs in Florida are:
What cities in Florida are hiring for Data Engineer Sports Analytics jobs? Cities in Florida with the most Data Engineer Sports Analytics job openings:
Infographic showing various Data Engineer Sports Analytics job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Data Engineer, Hockey Operations

The Florida Panthers

Fort Lauderdale, FL • On-site

$101K - $137K/yr

Full-time

Posted 19 days ago


Job description

Organization Overview:
The Florida Panthers enter their 33rd season in 2026-27 as one of the National Hockey League's premier franchises. As back-to-back Stanley Cup champions in 2024 and 2025, the Cats have emerged victorious in 11 of their past 12 postseason series and have captured four Eastern Conference championships. The Panthers are led by President of Hockey Operations & General Manager Bill Zito entering his seventh season, and President of Business Operations Michael White who begins his first full season.
As the NHL's southernmost team, the Panthers operate four facilities in Broward County, Florida: Amerant Bank Arena in Sunrise; the Panthers IceDen in Coral Springs; the state-of-the-art Baptist Health IcePlex in Fort Lauderdale; and the renovated War Memorial Auditorium, which hosts concerts and events for the South Florida faithful year-round.
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. The Florida Panthers Foundation focuses on four core pillars: veterans' affairs; children's health and education; raising awareness for the endangered Florida Panther; and growing youth hockey throughout the region. The Panthers remain committed to empowering our fans to live sustainably and to strengthen the resiliency of our diverse communities throughout Florida and the tri-county area.
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 Summary
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.
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 Work
This 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.
At the Florida Panthers Hockey Club, Arena Operating Company, Panthers IceDen, Sanza Food Service, War Memorial Benefit Corporation, and FLA Team Shop, 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.