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Data Engineer Sports Analytics Jobs in Minnesota

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

This role combines data engineering, analytics, and business intelligence development to transform operational and manufacturing data into trusted, actionable insights. Working closely with the Data ...

Celer Soft LLC

Sr Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Senior Data Engineer Locations: Minneapolis, MN / Plano, TX Onsite Experience: 10+ years Role ... The candidate will work closely with data architects, business stakeholders, analytics teams, and ...

New

trane technologies

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will ... Trane Technologies is seeking an experienced Data Engineer who will be responsible for managing and ...

Trane Technologies

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will ... Trane Technologies is seeking an experienced Data Engineer who will be responsible for managing and ...

Trane Technologies plc

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will ... Trane Technologies is seeking an experienced Data Engineer who will be responsible for managing and ...

Trane Technologies plc

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will ... Trane Technologies is seeking an experienced Data Engineer who will be responsible for managing and ...

Stellar IT Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and other cross-functional teams to deliver high-quality solutions that meet business needs and support ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and ...

UnitedHealth Group

Data Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

... data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle ... Demonstrated analytical and troubleshooting skills, with the ability to diagnose pipeline failures ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business ...

UnitedHealth Group

Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

... data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle ... Demonstrated analytical and troubleshooting skills, with the ability to diagnose pipeline failures ...

HealthPartners

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics Power BI App, the enterprise hub for financial, workforce, and operational reporting. This platform ...

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics Power BI App, the enterprise hub for financial, workforce, and operational reporting. This platform ...

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Showing results 21-40

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.

Sr. Data Engineer

IP Corporation

Saint Paul, MN • On-site

$115K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Sr. Data Engineer, Microsoft Fabric & Power BI

Location: Vadnais Heights, MN (Hybrid)

What is IP Corporation?

IP Corporation is a privately held, family-owned chemical manufacturing organization with more than 70 years of stability, innovation, and growth. Headquartered in Minnesota, IP Corporation supports a portfolio of operating companies that manufacture and distribute resins, gel coats, composite materials, and specialty polymer solutions used across a wide range of industrial applications.

Our operating companies, Interplastic Corporation, North American Composites, HK Research, and Molding Products, work together to deliver technical expertise, high-quality products, and long-term partnerships to customers around the world. We are known for our customer-first mindset, strong technical capabilities, and collaborative culture built on trust and continuous improvement.

What is a Sr. Data Engineer, Microsoft Fabric & Power BI?

The Sr. Data Engineer, Microsoft Fabric & Power BI is responsible for designing, building, and optimizing the enterprise data infrastructure that powers business intelligence across IP Corporation. This role combines data engineering, analytics, and business intelligence development to transform operational and manufacturing data into trusted, actionable insights.

Working closely with the Data Architect and business stakeholders, this individual will develop scalable data pipelines, manage Microsoft Fabric data environments, and create impactful Power BI dashboards that support informed decision-making across the organization. The ideal candidate is passionate about modern data platforms, industrial data integration, and building enterprise solutions that enable data-driven business outcomes.

What You Can Expect to Do as a Sr. Data Engineer, Microsoft Fabric & Power BI:

  • Design, develop, and maintain scalable data pipelines that extract data from operational technology (OT) systems, including historians, SCADA systems, PLCs, and OPC UA sources.
  • Build robust ingestion pipelines that support both batch and near real-time data processing into Microsoft Fabric.
  • Land, transform, cleanse, and model enterprise data within OneLake, Lakehouse, and Warehouse environments.
  • Optimize data pipelines for reliability, scalability, performance, and cost efficiency, monitoring and troubleshooting pipeline performance while proactively identifying opportunities for improvement.
  • Design, develop, and maintain Power BI semantic models, dashboards, and enterprise reporting solutions, including optimized DAX measures and data models that support self-service analytics.
  • Establish reporting standards, visualization best practices, and reusable reporting assets.
  • Partner with business stakeholders to understand reporting needs, translate business questions into actionable analytics, and continuously improve reporting capabilities that support strategic and operational decision-making.
  • Develop and maintain Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Dataflows, and Pipelines, working closely with the Data Architect to expand the ecosystem and ensure solutions follow Microsoft Fabric best practices and architectural standards.
  • Support enterprise data governance initiatives, including metadata management, security, lineage, and access controls, and assist with implementation of Microsoft Purview and other governance tools as needed.
  • Collaborate with IT, manufacturing, operations, engineering, and business teams, participate in Agile/Scrum ceremonies, support data integration projects across manufacturing and ERP platforms, and document technical solutions, data models, and pipeline architecture.

What We Are Looking For in a Sr. Data Engineer, Microsoft Fabric & Power BI:

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field (or equivalent experience).
  • Five (5) or more years of experience designing and supporting enterprise data solutions.
  • Expertise with Microsoft Fabric, including Data Factory, OneLake, Lakehouse, Warehouse, and related platform components.
  • Advanced experience developing Power BI semantic models, dashboards, reports, and DAX calculations.
  • Strong SQL skills and experience designing relational and dimensional data models.
  • Experience building ETL/ELT data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Synapse, or similar technologies.
  • Experience integrating data from operational technology (OT) systems including historians, SCADA systems, PLCs, OPC UA, or similar industrial data sources.
  • Strong understanding of Agile/Scrum software development methodologies.
  • Strong understanding of modern cloud-based data engineering principles, data architecture, data governance, and business intelligence best practices.
  • Ability to design scalable, maintainable, and secure enterprise data solutions.
  • Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail and data quality.
  • Strong communication skills with the ability to collaborate across technical and business teams and communicate technical concepts to non-technical stakeholders.
  • Strong organizational skills with the ability to manage multiple projects and priorities, working independently while collaborating across cross-functional teams.
  • Proficiency with Microsoft Office applications including Outlook, Word, Excel, Teams, and PowerPoint.
  • Experience working within manufacturing, industrial automation, or process manufacturing environments, including ERP integrations and enterprise business applications, preferred.
  • Experience with Microsoft Purview or other enterprise data governance platforms, Microsoft Azure, enterprise security, lineage, metadata and access management strategies, real-time or streaming data architectures, and Microsoft Fabric, Azure Data Engineering, or Power BI certifications preferred.

Why Join IP Corporation?

  • Be part of a stable, privately held organization with more than 70 years of success and industry leadership.
  • Competitive benefits including medical, dental, vision, generous PTO, and a 401(k) with company match.
  • Opportunity to make a meaningful impact in a collaborative, values-driven organization where your contributions matter.
  • Work alongside experienced professionals in an environment that encourages continuous learning, development, and career growth.
  • Join a culture built on teamwork, integrity, innovation, and long-term customer partnerships.
  • Contribute to products and solutions that support a wide range of industries across North America and beyond.
  • Enjoy the benefits of a company that combines the stability of an established organization with the agility and entrepreneurial spirit to drive innovation and continuous improvement.

IP Corporation is an Equal Opportunity Employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic in accordance with applicable laws.

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