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Data Engineer Sports Analytics Jobs in Minnesota

Coloplast

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data ... You will take the lead in building the data infrastructure that enables analytics, self-service ...

Comfort Medical

Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data ... You will take the lead in building the data infrastructure that enables analytics, self-service ...

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/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 ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

UnitedHealth Group

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

Collaborate with crossfunctional teams (analytics, product, engineering, business) to align data solutions with business goals * Data Engineering & Pipeline Development * Build, optimize, and ...

Medica

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

... team sport. It's our mission to be there in the moments that matter most for our members and ... Analyze complex source data, relationships, business rules, and processing behavior. * Translate ...

Imedica

Sr. Data Engineer, EDM

Minnetonka, MN

$116K - $140K/yr

... team sport. It's our mission to be there in the moments that matter most for our members and ... Analyze complex source data, relationships, business rules, and processing behavior. * Translate ...

Kendall Howard

Data Engineer

Chisago City, MN · On-site

$80K - $120K/yr

Collaborate with IoT engineers on data contracts and payload structure ... Dashboards & Analytics * Build dashboards and visualizations for equipment monitoring. * Develop ...

Huntington

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Ability to engineer data solutions using ETL tools or develop APIs as needed. * Bachelor's Degree ...

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All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Minnesota

Data Engineer Sports Analytics information

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 are popular job titles related to Data Engineer Sports Analytics jobs in Minnesota?

For Data Engineer Sports Analytics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Engineer Sports Analytics jobs in Minnesota look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Data Engineer Sports Analytics jobs?

Cities in Minnesota 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 Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Engineering Manager, Sports Media

Sportradar AG

Minneapolis, MN • On-site

$150 - $190/hr

Other

Posted 4 days ago

Job description

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

ABOUT US:
The Sports Media Team at Sportradar builds platforms and products that collect, curate, distribute, analyze, and personalize sports data and content. We hold exclusive data rights with top leagues including MLB, NBA, NHL, and NASCAR and deliver the fastest and most accurate live game data on the market.
Our APIs power products from Apple, Google, Amazon, and thousands of other customers globally. Our Analytics Products and Broadcast Solutions are behind the stats and storylines seen by millions of fans watching the World Series, Super Bowl, and every game in between.
We are seeking an Engineering Manager to lead a team of talented engineers building enterprise-grade, high-uptime sports analytics and broadcast tooling. This role balances people leadership and deep technical engagement. You will manage and grow your team while remaining hands-on enough to shape architecture, guide technical decisions, and maintain the high standards of data accuracy and software quality that our enterprise customers depend on.

THE CHALLENGE:

  • Manage a team of software engineers, providing consistent 1:1s, team retros, clear performance feedback, and genuine investment in each engineer's career growth.
  • Set clear expectations, document goals, and conduct performance reviews; connect individual career aspirations with team and product backlogs.
  • Mentor engineers at all levels, helping them grow both technically and professionally.
  • Foster a strong engineering culture built on collaboration, ownership, and continuous improvement.
  • Empower engineers to be creative problem solvers while maintaining high standards of quality, reliability, and uptime.

Technical Leadership & Architecture:

  • Provide hands-on architectural direction across the team’s systems, facilitating key decisions around system design, data modeling, and service boundaries.
  • Drive the reduction of technical debt by identifying systemic risks, prioritizing remediation efforts, and balancing those efforts with feature development.
  • Participate meaningfully in design reviews, merge request reviews, and technical discussions.
  • Advocate for engineering best practices including reliability, observability, security, performance, agentic development, and maintainability at scale.
  • Ensure systems meet the uptime and data accuracy standards expected by enterprise customers.
  • Lead post-mortems and drive incident follow-through.
  • Leverage agentic development tools to increase engineering velocity while maintaining high standards of quality, readability, and architectural consistency.
  • Product Collaboration & Delivery Partner closely with Product teams to translate business goals into well-scoped and well-sequenced engineering initiatives.
  • Organize and maintain delivery swim lanes that provide engineers with clear priorities and focused work.
  • Own team-level delivery commitments, forecast accurately, communicate risks early, and consistently deliver high-quality software.
  • Balance feature development, platform investment, and technical debt while making trade-offs transparent and defensible.
  • Participate in cross-functional planning with Product, Design, DevOps, and Architecture teams to ensure alignment and clear ownership boundaries.
Location

420 5th Street Minneapolis, MN55401, Minneapolis, United States of America

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