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Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data and AI platforms on Azure. This role will focus on enabling enterprise data pipelines, real-time ...

Data Engineer

Eden Prairie, MN · On-site

$72K - $130K/yr

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data and AI platforms on Azure. This role will focus on enabling enterprise data pipelines, real-time ...

Data Engineer | TELECOMMUTE

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders * We have 1 product owner on the team and work with several others directly * We have a Scrum Master aligned as well ...

Data Engineer

Rochester, MN · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Saint Cloud, MN · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Plymouth, MN · On-site

$119K - $143K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Duluth, MN · On-site

$127K - $153K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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 team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

Data Engineer Location: Minneapolis, MN. Chandler, AZ. Irving, TX Pay Rate: $76 Top Skills * 5+ years of experience designing ETL (SSIS/ADF), DBMS(SQL Server/Azure SQL/Oracle/Teradata), Python ...

Data Engineer

Minneapolis, MN · On-site +1

$75.75 - $83.33/hr

Document data variances and identified root causes in collaboration with Product Manager/Engineers/Business Teams and get business sign off for known variances. * Build dashboards for data variance ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Onsite) Job Type: Contract Experience: Mid-to-Senior level Job Overview Our client is seeking an experienced AWS Data Engineer to join their team in ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

The Data Engineer will be responsible for a wide variety of tasks which include all aspects of the development and delivery of data solutions and maintaining the enterprise data warehouse. You will ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They are seeking Data Engineers to manage, transfer, manipulate, or integrate data to ensure exceptional performance for their customers' businesses. Responsibilities : • Design and development of ...

This is a hands-on delivery lead role specialized in data engineering Strong communication skill to work with senior executives 20-25 years of experience in Information Technology services across ...

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Showing results 1-20

Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Minnesota? The most popular types of Data Engineer jobs in Minnesota are:
What are popular job titles related to Data Engineer jobs in Minnesota? For Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Data Engineer jobs? Cities in Minnesota with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in MN? For Data Engineer jobs in MN, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.
Data Engineer

Data Engineer

UnitedHealth Group

Eden Prairie, MN • Remote

$72K - $130K/yr

Full-time

Retirement

Posted 7 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 890 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data and AI platforms on Azure. This role will focus on enabling enterprise data pipelines, real-time processing, and AI/ML model integration using Databricks and modern cloud technologies.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design and develop scalable data pipelines using Databricks, Apache Spark, and Python on Azure
  • Build cloud-native solutions leveraging Azure Data Lake, Azure Data Factory, and Delta Lake
  • Collaborate with Data Science and AI teams to operationalize ML models and embed them into production workflows
  • Develop and maintain feature stores, model input pipelines, and real-time/streaming frameworks
  • Ensure data quality, governance, and security across the full data lifecycle
  • Build reusable frameworks, accelerators, and automation scripts to improve engineering efficiency
  • Optimize performance, scalability, and reliability of data workflows and batch/streaming pipelines
  • Participate in Agile development processes, including sprint planning, code reviews, and CI/CD pipelines
  • Provide production support and on-call coverage, ensuring system stability and rapid issue resolution
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or IT related field
  • 6 years of experience in Data Engineering with Python/PySpark
  • 6 years of experience in building ETL/ELT pipelines using Databricks
  • 6 years of experience working in Agile environments
  • 5 years of strong experience in SQL / PL-SQL
  • 4 years of experience with Azure Databricks and Delta Lake architecture
  • 4 years of hands-on experience with CI/CD (GitHub Actions, Azure DevOps)
  • 3 years of hands-on experience with Azure cloud services (ADF, ADLS, Databricks)
  • 2 years of experience with Databricks Delta Live Tables (DLT)
  • 2 years of experience with unit testing, validation, and pipeline testing frameworks

Preferred Qualifications:

  • Familiarity with medallion architecture and SCD2 implementations
  • AI builder: Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 
  • Experience building enterprise-scale data platforms
  • Strong skills in performance tuning and debugging large-scale pipelines
  • Experience with real-time/streaming frameworks (Structured Streaming)
  • Ability to work in distributed, cross-functional global teams
  • Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
  • Strong understanding of secure coding practices and vulnerability remediation
  • Proven ability to analyze logs, troubleshoot production issues, and optimize performance
  • Demonstrated capability to design and deploy AI-powered solutions responsibly

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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