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Data Engineer Sports Analytics Jobs in Minnesota

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

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 ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Data & Analytical Solutions: Develops complex data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable and ...

New

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

... Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation from ...

Daikin Applied

Data Engineer III

Plymouth, MN · On-site

$119K - $143K/yr

Data Engineer III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Daikinapplied

Data Engineer III

Minneapolis, MN · On-site

$90K - $153K/yr

Data Engineer III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Cargill

Sr. Data Engineer

Wayzata, MN

$116K - $139K/yr

Data & Analytical Solutions: Develops complex data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable and ...

New

Genesis10

Data Engineer - Hybrid

Eagan, MN · On-site

$79.10 - $89.10/hr

The ideal candidate will build ETL/ELT processes to support enterprise analytics, working with ... data engineering components that improve scalability and maintainability Partner with business ...

C4 Technical Services

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

The role works across structured and unstructured data, enabling analytics, operational reporting, interoperability, and digital business capabilities through scalable and reliable data engineering ...

New

Pwc

Data Engineer - Manager

Minneapolis, MN · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Navtech, Inc.

Azure Data Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

I have an opportunity for " Azure Data Engineer " and looking for a candidate who can join ... Provide feedback and input to the Data analyst teams on how the data mapping is done. * Work to ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Palomar Holdings, Inc.

Sr. Data Engineer

Edina, MN · On-site

$118K - $142K/yr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of ... Design and implement advanced data models and architectures to support analytics, reporting, and ...

US Bank

Senior Data Engineer with Data Analytics

Hopkins, MN · On-site

$107K - $146K/yr

Senior Data Engineer / Data Analytics Summary Be a part of transformational change where integrity matters, success inspires, and great teams collaborate and innovate. As the fifth-largest bank in ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Legence

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Pwc

Data Engineer - Senior Manager

Minneapolis, MN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They are seeking Data Engineers to manage, transfer, manipulate, or integrate data to ensure ... Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business ...

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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.

Data Engineer Senior

HealthPartners

Bloomington, MN • On-site

$51.85 - $77.77/hr

Full-time

Medical, Retirement

Re-posted 17 days ago

HealthPartners rating

7.6

Company rating: 7.6 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

190th of 891 rated healthcare providers

Job description


HealthPartners is hiring a Data Engineer. This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable analytics platform that provides Finance and operational leaders with trusted, actionable insights across the organization.
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 integrates data from multiple enterprise systems and delivers a consistent, user-friendly reporting experience that enables informed decision-making, performance monitoring, financial stewardship, and strategic planning.
Working closely with finance, operational, and technology partners, this individual will design, develop, and optimize data solutions that ensure leaders have timely, accurate, and meaningful information to drive business outcomes across HealthPartners.
Required Qualifications:
  • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND Four (4) years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable.
  • Five (5) years of programming experience with command in at least two languages: SQL, Python, Java, R or Spark
  • Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server
  • Four (4) years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar)
  • Three (3) years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in Azure.
  • Experience using Git, or a comparable code repository.
  • Must be motivated, self-driven, curious, and creative.
  • Must be skilled communicator and demonstrate an ability to work with end users and business leaders.
  • Demonstrate the ability to support and complement the work of a diverse development and/or operations team.
  • Experience working in a collaborative, cross-functional team; Active participation in sprint reviews.
  • Expert Knowledge and a minimum of four years' experience in the following domains: Data management, software engineering, I&O (infrastructure and operations)

Preferred Qualifications:
  • Knowledge of health care operations
  • Exposure to agile/scrum
  • Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets.
    • Expert in Relational databases like Oracle, SQL server
    • Expert in Optimizing and tuning SQL/Oracle queries, stored procedures, and triggers.
    • Expert in Python (numpy, pandas, matplotlib etc.) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation
    • Expert in areas of CI/CD, Continuous testing, and site reliability engineering.
    • Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps.
    • Expert in event streaming tools like NiFi, Kafka and Flink
    • Expert in data processing tools, like Apache's Sqoop, Spark and Hive
    • Expert in Document or NoSQL datastores, particularly MongoDB
    • Expert in Power BI data models using advanced Power Query and DAX
    • Expert in AI/ML Ops
  • Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)
  • Collaborate effectively with product management, program management, engineers, and stakeholders.
  • Excellent analytical and critical thinking skills
  • Ability to influence without authority and thrive in an ambiguous environment.

Responsibilities:
  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Collaborate with stakeholders, data scientists and analysts to frame problems, clean, and integrate data, and determine the best way to provision that data on demand.
  • Collaborate with other developers to design technology solutions that achieve measurable results at scale.
  • Collaborate with data scientists to train, develop, and operationalize learning models.
  • Build, design, and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets for analysts and data scientists.
  • Evaluate and recommend technology and frameworks for building cross product data assets to optimize flexibility, long-term viability, and time to market.
  • Guide, mentor, influence, and adopt a cloud-first modern data architectural direction and consistently adopt the associated standards and best practices.
  • Anticipate the need for data governance and work with designated committees to ensure that data modeling and data handling procedures are compliant with applicable laws and policies across data pipeline.
  • Leads root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement advanced solutions that prevent recurring points of failure.
  • Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines.
  • Identifies multiple, complex data sources and builds advanced code to extract raw data from identified upstream sources using query languages, tools, or machine learning algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline.
  • Formulate techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
  • Participate in code reviews and champion the adoption of best practices.
  • Support the data environment by releasing new features, resolving issues for users, and working with other technology teams.
  • Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades).
  • Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines.
  • Data engineers perform other duties as required, to meet team sprint goals.

About Us
At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.
We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.
At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.
Benefits Designed to Support Your Total HealthAs a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.
Join us in our mission to improve the health and well-being of our patients, members, and communities.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.

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