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Data Engineer Sports Analytics Jobs in Wisconsin

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

You'll collaborate with solution architects, analysts, and client stakeholders while sharpening both your technical depth and consulting skills. Key Responsibilities: * Data Engineering: Develop ...

Associate Data Engineer

Madison, WI · On-site

$85K - $162K/yr

You'll collaborate with solution architects, analysts, and client stakeholders while sharpening both your technical depth and consulting skills. Key Responsibilities: * Data Engineering: Develop ...

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data ...

Databricks Engineer

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The candidate shall also demonstrate the below knowledge and experience: • Strong proficiency in Python and R for data engineering and analytical workflows. • Hands-on experience with Databricks ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

About the Role As Senior Software Engineer, you will collaborate closely with design, product and ... Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization ...

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Clinical Research Data Specialist

Madison, WI · On-site

$62K/yr

  • Retirement

  • PTO

Data Engineer I Job Summary: The Department of Orthopedics and Rehabilitation is seeking a Clinical ... Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ...

Showing results 41-60

Data Engineer Sports Analytics information

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 are popular job titles related to Data Engineer Sports Analytics jobs in Wisconsin? For Data Engineer Sports Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Engineer Sports Analytics jobs in Wisconsin look for? The top searched job categories for Data Engineer Sports Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Engineer Sports Analytics jobs? Cities in Wisconsin with the most Data Engineer Sports Analytics job openings:
Infographic showing various Data Engineer Sports Analytics job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer (SQL, Python, Databricks)

Kwik Trip, Inc.

La Crosse, WI • On-site

$85K - $128K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Kwik Trip rating

7.1

Company rating: 7.1 out of 10

Based on 858 frontline employees who took The Breakroom Quiz

2nd of 47 rated convenience stores


Job description

Already a Kwik Trip Coworker? Follow this link to apply: myapps.kwiktrip.com
Location: Department 671
Shift: Daytime
Experience: 2+ years
Pay Range: $85,633.60 to $128,450.14
Actual pay will be based on various factors, such as a candidate's qualifications, skills, competencies, proficiency for the role, and internal equity. In addition to base pay, Kwik Trip gives 40% of pre-tax profits back to our coworkers with bonuses ranging from 8-12% of each coworker's gross annual wage depending on company profitability and offers a comprehensive benefits package, including health insurance, 401k, paid time off, and more.
*This position is not eligible for sponsorship.
Department:
Information Technology
Location: La Crosse Support Center | Onsite
Job Type: Full-time
About the Role
Kwik Trip's Data Engineering team is growing! We're looking for a Data Engineer II who thrives on solving complex data challenges and building scalable infrastructure. If you're passionate about transforming raw data into actionable insights and enjoy working in a collaborative, fast-paced environment, we want to hear from you.
What You'll Do
  • Build, test, and maintain robust data pipelines and architectures
  • Develop real-time integrations and troubleshoot data infrastructure issues
  • Evaluate and implement emerging data technologies
  • Create and maintain technical documentation and data flow diagrams
  • Collaborate with cross-functional teams to support business initiatives
  • Analyze data for trends, anomalies, and optimization opportunities
  • Support data transformation, metadata management, and workload orchestration

What You'll Bring
  • 2-5 years of experience as a Data Engineer
  • Bachelor's degree in Information Systems, Computer Science, or related field
  • Advanced SQL skills and experience with relational and big data databases
  • Proficiency in Python, Scala, or R
  • Experience with ETL tools (Informatica, SSIS, Talend)
  • Familiarity with Databricks, Snowflake, and stream processing technologies
  • Strong analytical and problem-solving skills
  • Ability to work independently and in team settings
  • Excellent communication skills

Bonus Points
  • Experience with natural language processing or statistical modeling
  • Familiarity with Agile methodologies and source control best practices

Work Schedule: Monday-Friday, standard business hours
Kwik Trip, Inc. is a family-owned, Midwest company, in operation since 1965. We are dedicated to serving our guests and coworkers while treating everyone like family. Along with our award-winning culture, we are proud to be an Equal Opportunity Employer. Learn more about Kwik Trip and our culture.
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