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Data Engineer Sports Analytics Jobs in McCook, IL

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 ...

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 ...

Data Engineer

Chicago, IL

$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 ...

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 : • ...

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 ...

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 : • ...

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 ...

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 ...

Azure Data Engineer

Chicago, IL · On-site

$97K - $130K/yr

Azure Data Engineer Salary: $97,500-$130,000 Job Summary We are seeking an experienced Azure Data ... Collaborate with business stakeholders, analysts, data scientists, and application teams to ...

Data Engineer

Chicago, IL · On-site

$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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location ... Write advanced SQL queries for transformation, validation, and analytics. * Develop scalable data ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Benchmark Analytics provides a comprehensive, all-in-one solution that is advancing police force ... This is a senior individual contributor role for a deeply experienced Data Engineer who can ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Analyze data structures and sources to define transformation logic and ensure data quality and ...

Showing results 21-40

Data Engineer Sports Analytics information

See McCook, IL salary details

$44K

$128.3K

$175.5K

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

As of Aug 18, 2026, the average yearly pay for data engineer sports analytics in McCook, IL is $128,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 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 McCook, IL look for?

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

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

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

Data Engineer

Compunnel

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Posted 11 days ago


Job description

Job Summary
We are seeking a hands-on Data Engineer to support AI and data initiatives focused on Azure and Databricks. The ideal candidate will have strong experience building scalable data pipelines, processing large datasets, and supporting AI/LLM integrations. This role requires an independent contributor who can work directly with business stakeholders and deliver high-quality data solutions with minimal ramp-up time.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines using Azure and Databricks.
• Build and optimize data ingestion, transformation, and data modeling processes for large datasets.
• Support AI and data engineering initiatives, including integration with LLM-based solutions.
• Collaborate with business stakeholders to understand requirements and deliver data-driven solutions.
• Develop and optimize data workflows for performance, scalability, and reliability.
• Ensure data quality, governance, and security across enterprise data platforms.
• Troubleshoot and resolve data pipeline and platform issues.
• Document technical solutions, data models, and engineering processes.
• Work independently while collaborating with cross-functional business and technical teams.
Required Qualifications
• Strong hands-on experience with Azure and Azure Databricks.
• Experience with data engineering, data ingestion, ETL/ELT, and data modeling.
• Experience working with large-scale datasets and distributed data processing.
• Exposure to AI, Large Language Models (LLMs), or AI integration initiatives.
• Strong SQL and data transformation skills.
• Excellent analytical, problem-solving, and troubleshooting abilities.
• Strong communication skills with the ability to work directly with business stakeholders, including executive leadership.
• Ability to work independently with minimal supervision.
Preferred Qualifications
• Experience in the healthcare industry.
• Knowledge of 340B pharmacy programs or pharmacy data.
• Experience with full-stack development.
• Experience supporting AI-driven data platforms and analytics solutions.
• Strong consulting mindset with the ability to quickly adapt to new environments.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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