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Sport Data Jobs in California (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 ...

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 · 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 Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description 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 Scientist

San Francisco, CA · Remote

$150K/yr

Company Description 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

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description 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

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description 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

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Company Description 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 ...

Creative Artists Agency

Jr. Data Scientist

Los Angeles, CA · On-site

$86 - $94/hr

Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2 ... The Data Scientist incorporates the latest developments in Data Science (statistical modeling ...

New

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description 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

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Company Description 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 ...

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All JobsSport Data JobsSport Data Jobs in California

Sport Data information

See California salary details

$45.4K

$162.9K

$240.3K

How much do sport data jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sport data in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a sport data?

A Sport Data job involves collecting, analyzing, and interpreting data related to sports, teams, and athletes. Professionals in this field work with statistics, performance metrics, and trends to provide insights for teams, media, betting companies, or sports organizations. Roles may include data analysts, scouts, or statisticians, and typically require strong analytical skills and knowledge of sports analytics tools.

What are the typical daily responsibilities of a sport data?

Professionals in Sport Data roles typically spend their days collecting, cleaning, and analyzing large sets of sports-related data, such as player statistics, game outcomes, and performance metrics. They may also create reports or visualizations to help coaches, managers, and teams make data-driven decisions. Collaboration with other analysts, IT staff, and sports professionals is common, as is staying updated on the latest trends and technologies in sports analytics. The role often involves tight deadlines, especially during busy sports seasons, and offers a dynamic environment for those passionate about both sports and data.

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

To thrive in a Sport Data role, you need strong analytical skills, attention to detail, and a background in statistics or data analysis, often supported by a degree in mathematics, statistics, or sports management. Familiarity with data analytics tools such as Excel, SQL, R, Python, and specialized sports data platforms is highly valuable. Excellent communication, critical thinking, and the ability to work well under pressure are important soft skills for collaborating with teams and presenting findings. These abilities are crucial for ensuring the accuracy and relevance of data insights that drive decision-making in the fast-paced world of sports.

What are popular job titles related to Sport Data jobs in California?

For Sport Data jobs in California, the most frequently searched job titles are:

What job categories do people searching Sport Data jobs in California look for?

The top searched job categories for Sport Data jobs in California are:

What cities in California are hiring for Sport Data jobs?

Cities in California with the most Sport Data job openings:

Sport Data jobs near you
Infographic showing various Sport Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 17 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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