ZipRecruiter

Log In

1

Data Engineer Sports Analytics Jobs in Wisconsin

Delta Dental Of Wisconsin

Data Engineer

Stevens Point, WI · On-site

$111K - $133K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data ... Collaborate with data analysts, business intelligence teams, and stakeholders to understand data ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

New

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

New

Core BTS

GCP Data Engineer

Appleton, WI

$75 - $80/hr

Summary As a Data Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions primarily using Google Cloud Platform (GCP) data platform ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

New

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

New

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data ... This role focuses on building reliable, scalable data solutions that enable analytics, reporting ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... Minimum of 3 years' experience in data analytics or data solutions Demonstrated experience writing ...

AgSource

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Farm Systems

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Urus

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

next page

Showing results 1-20

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Wisconsin

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.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. These roles often require proficiency in data analysis tools, programming languages, and sports analytics knowledge. Salaries can vary based on the organization and geographic location.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Python are commonly used in sports analytics roles. Transitioning to sports analytics often requires knowledge of the sport and relevant data sources.

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, and why are they important?

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts and data engineers to analyze player performance, game strategies, and injury data. These roles typically require skills in data management, statistical analysis, and familiarity with sports analytics tools like R or Python. Data professionals help teams make data-driven decisions to improve performance and competitiveness.

Is 40 too late for data science?

For a Data Engineer in sports analytics, starting a career at 40 is feasible, especially with relevant skills in programming, data management, and analytics tools. Many professionals transition into data roles later in life, and experience in related fields can be an advantage. Continuous learning and certifications can help accelerate entry into the field regardless of age.
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:
Data Engineer Sports Analytics jobs near you
Data Engineer

Data Engineer

CTech Manufacturing

Schofield, WI • On-site

$114K - $137K/yr

Full-time

Retirement

Posted 28 days ago

Job description

Description:

We’re seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional looking to build hands-on experience designing modern data solutions that directly impact business operations and decision making. In this role you will work closely with cross functional teams to help transition and modernize our existing ETL pipelines into scalable ELT processes, develop reporting and dashboard solutions, and support future AI and analytics initiatives.


Responsibilities:

Design, develop, and maintain ELT pipelines that move and transform data between business systems and databases

Assist in transitioning ETL workflows into scalable, efficient ELT processes

Work with SQL Server, PostgreSQL, and MongoDB databases to support operational and analytical needs

Develop, maintain, and optimize SQL queries, stored procedures, and database objects

Create and maintain business reports, dashboards, and visualizations using Power BI, SSRS, and related reporting tools

Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights

Monitor and troubleshoot data pipelines, integrations, and reporting workflows to ensure reliability and accuracy

Document data processes, workflows, and technical solutions for internal teams

Collaborate with software developers and operational teams to support enterprise data initiatives

Stay current with emerging technologies, tools, and best practices in data engineering and analytics

Requirements:

Associate’s degree or higher in Computer Science, Data Science, Information Systems, or a related field

0-3 years of professional experience in data engineering, business intelligence, analytics, or related technical roles

Strong foundational knowledge of SQL and relational database concepts

Experience working with SQL Server, PostgreSQL, and/or MongoDB

Familiarity with data integration and workflow tools such as Apache Nifi

Experience developing reports and dashboards using Power BI, SSRS, or similar business intelligence platforms

Understanding of ETL/ELT concepts and data transformation workflows

Basic understanding of data modeling, normalization, and database design principles

Strong analytical and problem solving skills with attention to detail

Ability to manage multiple tasks and prioritize effectively in a collaborative environment

Eagerness to learn new technologies and grow within a data engineering career path


If you meet the above requirements and are excited about the opportunity to work with a talented team on challenging projects, we encourage you to apply. We offer a competitive salary, benefits package, 401(k) match, and opportunities for growth and development within the company. We also provide ongoing training and professional development opportunities to help our team members stay current with emerging technologies and best practices in data engineering.