ZipRecruiter

Log In

1

Data Engineer Sports Analytics Jobs in Wisconsin

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy ... Analyze complex datasets to identify trends, answer business questions, and support informed ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy ... Analyze complex datasets to identify trends, answer business questions, and support informed ...

Fiserv, Inc.

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Perform in-depth data quality analysis, identifying and resolving anomalies, inconsistencies, and errors to maintain data integrity. Work closely with developers, analysts, and client-facing teams to ...

Deloitte

Project - Data Engineer II

Milwaukee, WI · On-site

$112K - $135K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

As part of a small, highly trusted data and analytics team, you will build reliable data assets ... Partner with BI Developers, Data Analysts, Data Owners, Application Developers, and business ...

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

As part of theData & Analytics team, you will design and deliver a Snowflake-centered data platform ... Define and evolve data integration frameworks, engineering standards, reusable patterns, and ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

previous pagenext page

Showing results 21-40

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.

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:
Data Engineer Sports Analytics jobs near you
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.

Principal Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 3 days ago

Job description

Role OverviewThe Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business.Key ResponsibilitiesDefine and evolve the long-term data architecture and technical visionDesign highly scalable, resilient data platforms and pipelinesSet standards for data modeling, reliability, observability, and governanceLead complex, high-risk technical initiatives and migrationsServe as the escalation point for critical data incidents and root cause analysisInfluence tool selection and technology adoption across the data stackMentor Staff and Senior Data Engineers and elevate engineering excellencePartner with leadership to align data strategy with business goalsEnsure data platforms support analytics, ML, and product use cases at scaleQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)10+ years of experience in data engineering or related disciplinesExpert-level SQL and strong proficiency in Python or similar languagesDeep experience with data warehousing, data lakes, and distributed systemsProven track record of designing and operating large-scale data platformsStrong systems thinking and architectural decision-making skillsPreferred ExperienceCloud platforms (AWS, Azure, or GCP)Streaming and real-time systems (Kafka, Spark, Flink, etc.)Advanced data governance, security, and compliance practicesSupporting ML, AI, or product-led data platformsInfluencing technical direction without direct managerial authority