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Data Engineer Sports Analytics Jobs in Bridgeview, IL

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Compunnel

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Summary We are seeking a hands-on Data Engineer to support AI and data initiatives focused on ... analytical, problem-solving, and troubleshooting abilities. • Strong communication skills with ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Experience in analytics and statistics is a major bonus. The right candidate will be excited by the prospect of optimizing or even re-designing, our company's data architecture to support our next ...

IMC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Strong statistical analysis skills * Demonstrated ability to troubleshoot and conduct root-cause ...

3B Staffing LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL Primary Skills: Business Intelligence, Azure, C#, Data ... To realize this vision, IT is establishing a Data & Analytics function underneath the Chief ...

Posted today

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming raw data into analysis-ready assets while working with modern cloud platforms. Responsibilities : • ...

3B Staffing LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL Primary Skills: Business Intelligence, Azure, C#, Data ... To realize this vision, IT is establishing a Data & Analytics function underneath the Chief ...

Posted today

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • Design and ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • ...

IMC Trading

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data ... statistical analysis skills • Demonstrated ability to troubleshoot and conduct root-cause ...

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Perform data analysis to ensure quality of data assets. * Perform preliminary exploratory analysis ...

Hightower

Data Engineer

Chicago, IL · On-site

$140K - $150K/yr

You will work closely with data scientists, analysts, and engineers across the firm to deliver reliable, well-modeled data into Snowflake and our operational data stores. What You'll Do * Build and ...

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Well-documented datasets and advanced semantic models that enable reporting and analysis * Data ...

The Hartford

Data Engineer

Chicago, IL

$118K - $141K/yr

As a Data Engineer, you will contribute to the development of scalable data platforms and production-ready data pipelines that enable analytics, machine learning, and AI solutions. Working closely ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Strong statistical analysis skills * Demonstrated ability to troubleshoot and conduct root-cause ...

hightower

Data Engineer

Chicago, IL · Hybrid

$140K - $150K/yr

You will work closely with data scientists, analysts, and engineers across the firm to deliver reliable, well-modeled data into Snowflake and our operational data stores. What You'll Do * Build and ...

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

Experience working in an Agile analytics environment where close collaboration with key ... Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.). Strong ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Strong statistical analysis skills * Demonstrated ability to troubleshoot and conduct root-cause ...

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Showing results 21-40

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Bridgeview, IL

Data Engineer Sports Analytics information

See Bridgeview, IL salary details

$45.4K

$132.5K

$181.3K

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

As of Aug 12, 2026, the average yearly pay for data engineer sports analytics in Bridgeview, IL is $132,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $140,400.00 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.

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?

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.
What cities near Bridgeview, IL are hiring for Data Engineer Sports Analytics jobs? Cities near Bridgeview, IL with the most Data Engineer Sports Analytics job openings:
Data Engineer Sports Analytics jobs near you

Fall 2026 Intern, Analytics

Excel Sports Management

Chicago, IL • Hybrid

$17.05/hr

Full-time, Internship

Posted 22 days ago

Job description

Our Intern program is a paid opportunity that allows participants to contribute to the organization's success while at the same time applying learnings from the classroom. This semester we will continue with a hybrid program and will offer each participant the opportunity to gain in-office experience for approximately 3-days a week. Interns are responsible for their individual transportation and housing needs.

Intern Expectations:

All Interns are expected to work 24-29.9 hours a week during the session. While each intern will be working with a specific division, they will have the opportunity to learn about other areas within Excel, through lunch and learns held throughout the semester.

Important Dates:

Our Fall Program runs from Monday, September 14th, 2026 through Thursday, December 10th, 2026.

Office Hours: 

  • 9:00 am6:00 PM CT, Monday-Friday OR as agreed upon with advisor. Days in office must be coordinated with Advisor's schedules.

Our Interns must:

  • Be available to work under 30 hours per week.
  • Be available to report to the Chicago office approximately 3-days a week.
  • Have a senior standing in college (must have completed your junior year of undergrad)

OR

  • Be enrolled in a graduate school

OR

  • Have a bachelor's or postgraduate degree.

Interview Process: 

  • Applications will close on August 14th, 2026
  • If selected, the expectation is that offers will be extended mid to late August.
  • The program will begin on September 14th, 2026.

Divisions Role Objectives and Expectations:

As an Excel Analytics associate, you will contribute to the evaluation and analysis of sports sponsorship opportunities and assist in determining the value and impact of sponsorships within the sports industry. This internship provides a unique opportunity to gain practical experience in sports analytics, specifically focusing on the valuation of sponsorships and partnerships. You will work closely with a team of professionals passionate about optimizing sponsorship strategies and maximizing return on investment for organizations and its partners.

Some responsibilities include:

  • Database Creation and Management
  • Data Collection and Analysis
  • Market Research
  • Partnership Support and Evaluation
  • AI Automation and Agentic Workflow Management
  • Cross-Functional Collaboration

Qualifications:

  • Currently pursuing a bachelor's or master's degree in statistical/quantitative analysis, business analytics, information systems, business, finance, economics, sports management, or a related field. Recent graduates may also be considered.
  • Strong analytical skills with a passion for utilizing data to drive business decisions and financial evaluations.
  • Proficiency with Excel
  • Familiarity with database structures and querying syntax e.g.SQL, with working knowledge of Python, R, and GenAI a plus
  • Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner.
  • Strong attention to detail and ability to manage multiple tasks in a fast-paced environment.
  • Experience or interest in database management and data organization.
  • Passion for sports and a basic understanding of the sports industry and sponsorship landscape is preferred.
  • Prior experience or coursework in sports analytics, sponsorship valuation, or related fields is a plus.

The pay for this position is: $17.05 per hour. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the California and New York City Salary Transparency Law.

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