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Data Engineer Sports Analytics Jobs in Florida (NOW HIRING)

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Data Engineer Remote but inperson interview in Jacksonville, FL Data Engineer plays a critical role ... data is available for analytics, reporting, operations, and decision-making. The ideal candidate ...

Data Engineer

Orlando, FL · Hybrid

$50 - $65/hr

Design AI-friendly database schemas, ontologies, and data structures to power advanced analytics ... Database Programming & Reverse Engineering: Write advanced SQL queries and stored procedures while ...

New

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

Miami, FL · On-site

$109K - $131K/yr

Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Sr Data Engineer

Fort Lauderdale, FL · On-site

$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.

Data engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Bachelor's degree and 6+ years of experience in data analytics, data engineering, data architecture, or software engineering with a focus on data warehouse design and implementation. * Proven ...

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 ...

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

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 ...

Data Engineer

West Palm Beach, FL

$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 ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a ...

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 ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a ...

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience ... Excellent ability to analyze information and think systematically. * Strong business analysis ...

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Data Engineer Sports Analytics information

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?

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.

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.

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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineer

WorkNovas LLC

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Posted 9 days ago


Job description

 Data Engineer 
Remote but inperson interview in Jacksonville, FL
Data Engineer plays a critical role in designing, building, and supporting the organization’s data services platform across Snowflake, Coalesce, Microsoft SQL Server, and Azure. This position develops reliable ELT and ETL workflows, supports data modeling and warehouse-oriented structures, and ensures that trusted, well-documented data is available for analytics, reporting, operations, and decision-making.

The ideal candidate will have strong SQL and data modeling skills, experience developing reliable data transformation workflows, and the ability to work closely with analytics, development, and business teams. This role supports sensitive healthcare and business data and requires a strong focus on data quality, reconciliation, security, documentation, and practical stakeholder support.

Education and Experience

•     Bachelor's degree in healthcare management, data analytics, statistics, information systems, business, or a related field; master’s degree preferred.

•     Proven experience as a Data Engineer or in a similar role.

•     Proficiency with SQL, Microsoft SQL Server, Snowflake, data modeling, and ELT or ETL development; experience with Coalesce or similar transformation and orchestration tools is strongly preferred.

•     Strong scripting or programming skills in languages commonly used for data engineering and automation, such as SQL, Python, PowerShell, or C#.

•     Strong proficiency in supporting data analytics and reporting tools such as SQL, Excel, Tableau, Power BI, or similar platforms.

•     Working knowledge of AI-assisted productivity, analytics, automation, or documentation tools, with the ability to validate outputs and apply sound judgment.

•     Knowledge of healthcare data privacy responsibilities and the handling of confidential information.

•     Preferred qualifications include hands-on experience with Snowflake, Coalesce, Microsoft SQL Server, Azure Data Factory or similar Azure data services, source control, deployment workflows, healthcare data, and business intelligence or analytics platforms such as Tableau or Power BI.

Knowledge, Skills, and Abilities 

•     Team Orientation & Interpersonal – highly motivated, collaborative, and service-oriented, with the ability to develop and maintain productive relationships with executives, peers, clinicians, clinical leaders, and external stakeholders.

•     Communication – able to explain complex data, technical concepts, AI-assisted outputs, and performance findings clearly and professionally in written, verbal, dashboard, and presentation formats.

•     Analytical Thinking – able to evaluate complex datasets and convert findings into practical modeling recommendations.

•     Organization & Time Management – able to work independently with minimal supervision, manage multiple priorities, and deliver accurate work within established deadlines.

•     Systems, Software & AI Tools – proficient with respective development environment tools, with the ability to use AI-assisted technologies responsibly to improve productivity, analysis, reporting.