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Data Engineer Sports Analytics Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA

... 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 ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

... 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 ...

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

This is a hands-on role for an early-career engineer who takes pride in building things the right ... Strong interest in sports and sports analytics. * Familiarity with marketing data (e.g., campaign ...

New

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

Excel Sports Management is an Equal Opportunity Employer (EOE). Position Summary: The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines ...

New

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

Excel Sports Management is an Equal Opportunity Employer (EOE). Position Summary: The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines ...

New

Swish Analytics

Soccer Data Scientist

San Francisco, CA

$130K/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

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/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

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/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

NFL Data Scientist

San Francisco, CA

$140K/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

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/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

Tennis Data Scientist

San Francisco, CA

$135K - $190K/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 ...

Lorven Technologies

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ...

Genius Sports

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... sports analysis, automation, and insights. These systems use live and historical sports data ...

Genius Sports

AI Engineer

Los Angeles, CA

$123K - $148K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... sports analysis, automation, and insights. These systems use live and historical sports data ...

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All JobsData Engineer Sports Analytics Jobs

Data Engineer Sports Analytics information

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$44.5K

$129.7K

$177.5K

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

As of Jul 19, 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.

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.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. These roles often require proficiency in data analysis tools, programming languages, and sports analytics knowledge. Salaries can vary based on the organization and geographic location.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Python are commonly used in sports analytics roles. Transitioning to sports analytics often requires knowledge of the sport and relevant data sources.

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 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, and why are they important?

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts and data engineers to analyze player performance, game strategies, and injury data. These roles typically require skills in data management, statistical analysis, and familiarity with sports analytics tools like R or Python. Data professionals help teams make data-driven decisions to improve performance and competitiveness.

Is 40 too late for data science?

For a Data Engineer in sports analytics, starting a career at 40 is feasible, especially with relevant skills in programming, data management, and analytics tools. Many professionals transition into data roles later in life, and experience in related fields can be an advantage. Continuous learning and certifications can help accelerate entry into the field regardless of age.
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Data Engineer Sports Analytics jobs near you
Data Engineer | Sports | Experienced Hire

Data Engineer | Sports | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

$115K - $138K/yr

Full-time

Posted 12 days ago

Job description

Overview
Susquehanna is one of the world's leading options market makers, providing liquidity across global financial markets through cutting-edge technology, quantitative research, and deep trading expertise. 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 out a next gen sports trading system within an early-stage initiative focused on influential product development.
Technology is at the forefront of everything we do, requiring cutting-edge and innovative technology expertise. Our technologists at Susquehanna enjoy working on highly complex in-house software that runs on the most modern platforms available, solving a wide range of problems to help us grow. Our people continue to grow and learn throughout their careers as market demands change the nature of our environment, thanks to our flat structure and collaborative environment.
Join us and be part of a collaborative team that values continuous learning and growth. Are you passionate about sports wagering and trading? Do you thrive in a fast-paced, dynamic environment where innovation is at the forefront? If so, we have an exciting opportunity for you!
What You'll Do:You will play a crucial role in designing, coding, and maintaining our next gen analysis and trading platform. You will work closely with Quantitative Researchers and other developers to:
  • Source and cleanse data, develop and maintain data pipelines as required by quant research and trading
  • Assist with researching new trading opportunities.
  • Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies
  • Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets

What We're Looking For:
  • Experience: Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
  • Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
  • Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
  • Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
  • Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.

What we're looking for
  • Experience: Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
  • Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
  • Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
  • Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
  • Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.

Why Join Us?
  • Innovative Environment: Work on a mixture of highly complex in-house software using the latest platforms.
  • Growth Opportunities: Continuous learning and career development in a flat, collaborative structure.
  • Mentorship: Work with industry veterans and technical experts who are passionate about mentoring and sharing their knowledge.
  • Perks: Excellent salary, benefits, and opportunities to attend world sporting events.
  • Team: Join a small but growing team of skilled and passionate researchers, quants, and developers.

About Susquehanna
Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.
What we do
We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.
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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