ZipRecruiter

Log In

1

Data Engineer Sports Analytics Jobs in Bridgeview, IL

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

Company Description Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Company Description Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud ...

Wolf Soccer Club

Remote Data Analyst

Aurora, IL · On-site

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

Remote Data Analyst

Joliet, IL · On-site

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

Remote Data Analyst

Cicero, IL · On-site

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.

The Joint Commission

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 ...

Joint Commission

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 ...

Joint Commission

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 ...

Roadrunner

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 ...

Roadrunner

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 ...

1872 Consulting

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 ...

1872 Consulting

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 ...

Dlapiper

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 ...

Harrison Street

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 ...

Harrison Street

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 ...

Harrison Street

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 ...

next page

Showing results 1-20

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 Sep 5, 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.

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 Bridgeview, IL look for?

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

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

Data Engineer

Tredence Analytic

Chicago, IL

$118K - $141K/yr

Full-time

Re-posted 16 days ago

Key responsibilities

  • Design, develop, document, and test advanced data systems that integrate data from multiple sources for use by data scientists, analysts, and other users.

  • Evaluate datasets using statistics, data mining, and predictive analytics to extract business insights.

  • Design, develop, and implement data processing pipelines at scale.

Job description

Company Description

Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.

Job Description

We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.

To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

Essential Responsibilities

  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.
    Qualifications
    • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
    • At least 3 years of proven experience as a Data Engineer.
    • Expert proficiency in Python, C++, Java, R, and SQL.
    • Familiarity with Hadoop or suitable equivalent.
    • Excellent analytical and problem-solving skills.
    • A knack for independent and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.
    Additional Information

    All your information will be kept confidential according to EEO guidelines.

    Apply