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Data Engineer Sports Analytics Jobs in Mokena, IL

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ... Interest or experience in sports analytics, particularly soccer, is highly beneficial.

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ... Interest or experience in sports analytics, particularly soccer, is highly beneficial.

Data Engineer

Oak Brook, IL · On-site

$107 - $143/hr

The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs. Responsibilities Data ...

New

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs. Responsibilities Data ...

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs. Data Engineering ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Build analytics tools that utilize the data pipeline to provide actionable insights into customer ... AWS Developer Associate, Certified Big Data Specialty, Tableau Desktop Certified Associate ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Build analytics tools that utilize the data pipeline to provide actionable insights into customer ... AWS Developer Associate, Certified Big Data Specialty, Tableau Desktop Certified Associate ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The candidate will analyze the data needs of Harrison Street Asset Management and use their skills in coding to develop and maintain secure data platforms. The successful candidate will be ...

Data Engineer

Chicago, IL · On-site

$125 - $200/hr

The candidate will analyze the data needs of Harrison Street Asset Management and use their skills in coding to develop and maintain secure data platforms. The successful candidate will be ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The candidate will analyze the data needs of Harrison Street Asset Management and use their skills in coding to develop and maintain secure data platforms. The successful candidate will be ...

Data Engineer

Chicago, IL · On-site

$125K - $200K/yr

The candidate will analyze the data needs of Harrison Street Asset Management and use their skills in coding to develop and maintain secure data platforms. The successful candidate will be ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer with some AI experience to support in building ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

This position will be responsible for the analysis, development, implementation, testing, and ... The Data Engineer will interface regularly with business partners across Underwriting, Operations ...

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Data Engineer Sports Analytics information

See Mokena, IL salary details

$43.8K

$127.6K

$174.6K

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

As of Sep 4, 2026, the average yearly pay for data engineer sports analytics in Mokena, IL is $127,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,600.00 and $135,300.00 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.

What job categories do people searching Data Engineer Sports Analytics jobs in Mokena, IL look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Mokena, IL are:

What cities near Mokena, IL are hiring for Data Engineer Sports Analytics jobs?

Cities near Mokena, IL with the most Data Engineer Sports Analytics job openings:

Infographic showing various Data Engineer Sports Analytics job openings in Mokena, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,619 per year, or $61.4 per hour.

Remote Data Analyst

Wolf Soccer Club

Aurora, IL • On-site

Other

Posted 4 days ago


Job description

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering competitive performance and player development. Based in Naperville, IL, the club focuses on providing structured training, data-informed coaching, and a positive environment for athletes of varying skill levels. The organization values teamwork, discipline, and continuous improvement, both on and off the field. Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth.
Role Description The Remote Data Analyst at Wolf Soccer Club is a full-time position responsible for collecting, cleaning, and analyzing soccer-related and organizational data to support coaching, operations, and strategic planning. On a day-to-day basis, this role will design and maintain data models, create reports and dashboards, and translate complex analyses into clear insights for staff and leadership. The Data Analyst will collaborate with coaches, administrators, and other stakeholders to identify key performance indicators, track trends, and recommend data-driven improvements. Although the role is focused on data tasks that can be performed remotely, this is an on-site role located in Naperville, IL, requiring regular presence at the club’s facilities for meetings, data collection, and collaboration.
Qualifications
  • Strong Analytical Skills and Data Analytics capabilities, with experience interpreting quantitative data to inform decisions.
  • Proficiency in Statistics, including descriptive and inferential methods relevant to performance and operational analysis.
  • Experience with Data Modeling to structure, organize, and maintain data for reporting and forecasting.
  • Effective Communication skills to present findings clearly to non-technical stakeholders and collaborate across teams.
  • Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau).
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, or equivalent practical experience.
  • Ability to work independently, manage multiple projects, and meet deadlines in a dynamic sports environment.
  • Interest or experience in sports analytics, particularly soccer, is highly beneficial.