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Sports Data Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Mr Sure Thing LLC

Be Seen First

Sales Assistant / Cold Caller Wanted

Delray Beach, FL · On-site

$600 - $1.0K/wk

Sure Thing - A Sports Data Analytics Company Mr. Sure Thing is an innovative sports data analytics company that leverages advanced artificial intelligence, machine learning, and statistical modeling ...

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Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Polymarket

Sports Markets Lead

New York, NY · On-site

Integrate data sources - work with providers like Sportsdata.io and others to ensure real-time accuracy and resilience * Shape partnerships with leagues, data firms, and sports-adjacent brands to ...

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Sports Data information

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$10

$34

$63

How much do sports data jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for sports data in the United States is $34.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $56.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the sports data position, and why are they important?

To thrive in Sports Data, you need strong analytical skills, a background in statistics or data science, and a solid understanding of sports rules and analytics. Familiarity with data visualization tools (such as Tableau or Power BI), coding languages (like Python or R), and sports data platforms is typically expected. Attention to detail, effective communication, and the ability to quickly interpret and present findings are valuable soft skills for this role. These competencies are crucial for delivering accurate insights and supporting decision-making in the fast-paced sports industry.

What does a sports data do?

A Sports Data professional typically spends their day gathering, cleaning, and analyzing sports-related datasets, such as player statistics, game outcomes, or performance metrics. They often create reports or dashboards, use statistical models to identify trends, and present actionable insights to coaching staff, management, or broadcasting teams. Collaboration is common with analysts, coaches, and IT teams to ensure data accuracy and relevance. Maintaining data integrity and keeping up with the latest sports analytics tools are also key parts of the role.

How to get into sports data?

To enter sports data roles, develop skills in data analysis, statistics, and programming languages like Python or R. Gaining experience with sports statistics, databases, and data visualization tools such as Tableau can improve employability; internships or entry-level positions in sports organizations or data companies are common pathways.

Is sports data a good career?

Sports data is a growing field that involves collecting, analyzing, and interpreting sports statistics for teams, media, and betting companies. Careers in this area often require skills in data analysis, programming, and knowledge of sports, with opportunities in data analysis, research, and technology roles. The industry offers potential for advancement and specialization but may require continuous learning and technical proficiency.

What is a sports data?

A Sports Data job involves collecting, analyzing, and interpreting sports-related statistics to provide insights for teams, media, bookmakers, and fans. Professionals in this field work with data from games, player performances, and team statistics to identify trends and patterns. Roles can include data analysts, statisticians, scouts, and developers who create models to predict outcomes. These jobs require strong analytical skills, statistical knowledge, and proficiency in tools like Excel, SQL, Python, or R.

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What cities are hiring for Sports Data jobs?

Cities with the most Sports Data job openings:

What are the most commonly searched types of Sports Data jobs?

The most popular types of Sports Data jobs are:

What states have the most Sports Data jobs?

States with the most job openings for Sports Data jobs include:

What job categories do people searching Sports Data jobs look for?

The top searched job categories for Sports Data jobs are:

Sports Data jobs near you
Infographic showing various Sports Data job openings in the United States as of August 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,704 per year, or $35 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 24 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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