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Data Engineer Sports Analytics Jobs in Florida (NOW HIRING)

Data Engineer

Tampa, FL · On-site

$110 - $150/hr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain ... Develop and maintain SQL and NoSQL databases supporting enterprise analytics. * Design and ...

New

Sr Data Engineer

Fort Lauderdale, FL · On-site

$120 - $190/hr

Job Posting Title: Senior Data Engineer We are looking for a talented senior data engineer ... Help lead team members in the design, development, and optimization of our core sports GraphQL ...

New

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data ...

Data Engineer

Miami, FL

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic ... Analytics & Visualization * Collaborate with the analytics team to create, optimize, and maintain ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights. b.

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain ... Develop and maintain SQL and NoSQL databases supporting enterprise analytics. * Design and ...

Lead Data Engineer

Tallahassee, FL · Remote

$108K - $130K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Partner with business stakeholders, analysts, and technology teams to translate business ...

Lead Data Engineer

Tallahassee, FL · Remote

$108K - $130K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Partner with business stakeholders, analysts, and technology teams to translate business ...

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

Data Engineer

Ormond Beach, FL · On-site

$100K - $120K/yr

Perform advanced data analysis, transform raw data into actionable insights, and support business ... Five (5) years of experience in data engineering, analysis, business intelligence, or a related ...

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

Data Engineer

Ormond Beach, FL · On-site

$95 - $135/hr

Data Engineer - design, build, and optimize enterprise data solutions that support analytics, reporting, operational efficiency, and business growth. This role is responsible for developing scalable ...

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. This role ...

Sr Data Engineer

Estero, FL · On-site

$117 - $143/hr

This role partners closely with Data Scientists, Engineers, Analysts, Developers, and business stakeholders to deliver trusted, high-quality data solutions that drive operational efficiency and data ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics. The Senior Data Engineer collaborates ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

This role involves working closely with analysts, engineers, and business stakeholders to shape our data architecture, build secure and efficient data pipelines and curated data models, and turn data ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer Company: Peoples Gas System State and City: Florida - Tampa Shift: 8 Hr. X 5 Days WHO ... Perform upgrades to DBMS and data integration products, which include impact analysis, testing ...

Showing results 21-40

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.

$110 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

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Job description

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data environments. The successful candidate will build secure, scalable cloud-based data pipelines, integrate data from multiple sources, and enable predictive analytics, artificial intelligence, and machine learning capabilities. This role also supports business intelligence initiatives by preparing data for dashboards, developing technical documentation, and facilitating knowledge transfer.

Location

Tampa, Florida

Responsibilities
  • Design, develop, and maintain scalable enterprise data pipelines supporting high-volume logistics data.
  • Develop ETL/ELT processes that integrate data from multiple enterprise logistics systems into centralized cloud-based data repositories.
  • Build and optimize data lake architectures supporting structured and unstructured data.
  • Develop batch and streaming data pipelines utilizing technologies such as Apache Kafka, Apache Airflow, and Apache NiFi.
  • Design and implement cloud-native storage and compute solutions within AWS or Azure environments.
  • Develop secure data architectures that comply with Department of Defense cybersecurity requirements.
  • Implement data governance, metadata management, data lineage, audit trails, and data quality controls.
  • Develop and maintain SQL and NoSQL databases supporting enterprise analytics.
  • Design and implement APIs supporting enterprise data integration and interoperability.
  • Collaborate with Data Scientists to prepare, transform, and optimize datasets for predictive analytics and machine learning models.
  • Develop reusable data models that support executive dashboards and business intelligence reporting using Power BI, Tableau, Qlik, or similar visualization platforms.
  • Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure.
  • Create technical documentation including architecture diagrams, data dictionaries, interface specifications, API documentation, and standard operating procedures.
  • Participate in knowledge transfer activities and technical training sessions for Government personnel.
  • Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
  • Collaborate with cross-functional engineering teams to continuously improve enterprise data capabilities.
Required Qualifications
  • Active Top Secret with the ability to attain a SCI
  • Bachelor\'s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.
  • Minimum five (5) years of professional Data Engineering experience.
  • Experience designing and implementing enterprise ETL/ELT data pipelines.
  • Strong programming experience using Python.
  • Advanced SQL development experience.
  • Experience with NoSQL databases.
  • Experience with Apache Kafka or similar streaming technologies.
  • Experience with Apache Spark.
  • Experience with Apache Airflow, Apache NiFi, or comparable orchestration tools.
  • Experience designing and supporting cloud-based data solutions using AWS or Azure.
  • Experience implementing enterprise data governance, metadata management, and data quality processes.
  • Experience integrating data from multiple enterprise applications using APIs.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government programs.
  • Experience supporting logistics, supply chain, sustainment, or operational data environments.
  • Experience with AWS S3, Azure Blob Storage, AWS KMS, or Azure Key Vault.
  • Experience developing enterprise data lakes or modern data warehouse solutions.
  • Experience supporting business intelligence and dashboard development.
  • Experience with containerized applications and DevSecOps pipelines.
  • AWS or Microsoft Azure Cloud Certification.
  • Security+ or other DoD 8570/8140 certification.
Compensation

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training

Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients\' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we\'ve built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.

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