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Data Engineer Sports Analytics Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$75K/yr

... 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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

... 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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

... 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 ...

Varsity Brands

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 ... Varsity Brands is building a modern enterprise data platform that powers analytics, reporting ...

Golden State

Data Engineer

San Francisco, CA · On-site

$144K - $153K/yr

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

AEG

Data Engineer

San Francisco, CA · On-site

$144K - $153K/yr

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

Index Analytics

Data Engineer

Windsor Mill, MD · On-site +1

$121K - $163K/yr

Company Overview Index Analytics, LLC, is a rapidly growing, Baltimore-based small business ... The Data Engineer plays a key role in modernizing the organization's data ecosystem by implementing ...

Swish Analytics

Send Us Your Resume!

San Francisco, CA · On-site +1

... 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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

... sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and ...

indianapoliscolts

Data Engineer

Indiana, PA

$104K - $125K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... the Sports and Entertainment industry is a strong plus. · Strong problem-solving skills and ...

AEG

Data Engineer, Business Strategy & Analytics

Nashville, TN · On-site

$110K - $132K/yr

Data Engineer , Business Strategy & Analytics Department: Business Strategy & Analytics Job Reports ... Experience in the Sports and Entertainment industry is a strong plus. * Strong organization and ...

BetMGM

Senior Sports Analyst

$92K - $120K/yr

... Sports Analytics team. They will support a culture of data driven decision making, provide ... Proficiency in a programming language (e.g., Python, R) * Demonstrated ability to build clear ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... the Sports and Entertainment industry is a strong plus. • Strong problem-solving skills and ...

Swish Analytics

Trading Analyst

San Francisco, CA

... sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and ...

Colts, Inc.

Data Engineer

Indianapolis, IN · On-site

$100 - $125/hr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... Experience in the Sports and Entertainment industry is a strong plus. * Strong problem-solving ...

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All Jobssports analytics JobsData Engineer Sports Analytics Jobs

Data Engineer Sports Analytics information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer sports analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer sports analytics 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 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.

More about Data Engineer Sports Analytics jobs

What cities are hiring for Data Engineer Sports Analytics jobs?

Cities with the most Data Engineer Sports Analytics job openings:

What states have the most Data Engineer Sports Analytics jobs?

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

The top searched job categories for Data Engineer Sports Analytics jobs are:

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Quantitative Sports Researcher - Graduate Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 6 days ago

Job description

Overview
At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team as a Quantitative Researcher, you will be part of a group that is passionate about mathematics, gaming, and technology.
What you'll do:
  • Immerse yourself in sports analytics research
  • Empirically test ideas using real industry data
  • Write programs to implement models and simulate outcomes
  • Discuss and collaborate with fellow researchers, traders, and technologists

What we're looking for
  • Graduating Master's or PhD students in a quantitatively-driven field
  • Solid, analytical problem-solving skills and excellent logical reasoning
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
  • Strong, practical computer programing skills
  • Demonstrated experience working on sports analytics projects
  • Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)
  • Intermittent international travel may be required

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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