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Sports Data Engineer Jobs (NOW HIRING)

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ...

Data Engineer

$160K - $190K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... You'll collaborate closely with our MLOps , and Sports Data teams to ensure seamless integration ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ...

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

JOIN THE BEST TEAM IN SPORT & SPIRIT At Varsity Brands, we believe every student deserves the ... The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to ...

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

JOIN THE BEST TEAM IN SPORT & SPIRIT At Varsity Brands, we believe every student deserves the ... The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to ...

Data Engineer II

Orlando, FL · On-site

$106K - $128K/yr

Operating at the intersection of sports and technology, you'll partner with data engineers, software engineers, product teams, and analytics partners to translate business and technical requirements ...

Come share your expertise while learning more about this growing sports and entertainment ... Work closely with data scientists, engineers, and analysts to design optimal data models and schema ...

$84K - $101K/yr

We are looking for an experienced Quantitative Data Engineer to join our Prediction Markets team. We specialize in geopolitical and sports analytics across the globe. This is an opportunity to build ...

Data Engineer

San Francisco, CA · On-site

$144K - $153K/yr

Come share your expertise while learning more about this growing sports and entertainment ... Work closely with data scientists, engineers, and analysts to design optimal data models and schema ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer plays a key role supporting our organization's data ecosystem, contributing to ... the Sports and Entertainment industry is a strong plus. • Strong problem-solving skills and ...

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Showing results 1-20

Sports Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do sports data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for sports data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Sports Data Engineer jobs?

Cities with the most Sports Data Engineer job openings:

What states have the most Sports Data Engineer jobs?

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

What are popular job titles related to Sports Data Engineer jobs?

For Sports Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Sports Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

San Francisco, CA • On-site, Remote

Swish Analytics
Spectator Sports • 1 - 10 employees

$160K/yr

Full-time

Re-posted 22 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