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Data Engineer Jobs in Minnesota (NOW HIRING)

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 ...

Principal Data Engineer

Saint Paul, MN ยท On-site +1

$101K - $163K/yr

The Principal Data Engineer works with business and IS leaders and stakeholders to establish data engineering strategies that support the organization's goals and objectives. They lead and influence ...

Principal Data Engineer

Saint Paul, MN ยท On-site

$101K - $163K/yr

The Principal Data Engineer works with business and IS leaders and stakeholders to establish data engineering strategies that support the organization's goals and objectives. They lead and influence ...

Azure Data Engineer

Hopkins, MN ยท On-site

$116K - $140K/yr

Azure Data Engineer Location: Remote Duration: 6 Months Need Candidate on W2 only Skillset Requirements: * 5-7+ years of experience as a data engineer * Experience in utilizing Azure and the date ...

Azure Data Engineer

Eden Prairie, MN ยท On-site

$116K - $140K/yr

Azure Data Engineer Location: Remote Duration: 6 Months Need Candidate on W2 only Skillset Requirements: * 5-7+ years of experience as a data engineer * Experience in utilizing Azure and the date ...

Kognitiv Edge is seeking aData Engineer IIto help build andmaintainthe data infrastructure that powers our human performance platforms. You will work alongside senior engineers, software developers ...

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Data Engineer Senior

Bloomington, MN ยท On-site

$115K - $138K/yr

HealthPartners is hiring a Data Engineer. The role will support Care Delivery Finance. They are responsible for delivering a governed, scalable analytics platform that provides Finance and ...

Data Engineer Senior

Bloomington, MN ยท On-site

$115K - $138K/yr

HealthPartners is hiring a Data Engineer. The role will support Care Delivery Finance. They are responsible for delivering a governed, scalable analytics platform that provides Finance and ...

Data Engineer Senior

Bloomington, MN ยท On-site

$51.85 - $77.77/hr

HealthPartners is hiring a Data Engineer. The role will support Care Delivery Finance. They are responsible for delivering a governed, scalable analytics platform that provides Finance and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Manager

Minneapolis, MN ยท On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer: IV (Lead)

Minneapolis, MN ยท On-site

$119K - $143K/yr

Data Engineer: IV (Lead) Location: Remote Duration: Contract - 4 months Pay Range: 90-95/hr on w2 Job ID: 399938 About BCforward BCforward is a leading global IT consulting and workforce solutions ...

Data Engineer w/ Azure

Eden Prairie, MN ยท On-site

$116K - $140K/yr

Data Engineer UHG/Optum is looking to recruit a Data Engineer with experience working on Azure Pipelines that would be open to working on various projects they have internally. This is open for a 6 ...

Senior Data Engineer

Minneapolis, MN ยท On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building ...

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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 4, 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 June 2026, with employment types broken down into 2% As Needed, 94% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.
US Data Engineer - Data Platforms

US Data Engineer - Data Platforms

Donato Technologies, Inc

Minneapolis, MN โ€ข On-site

Contractor

Posted 11 days ago


Job description

We are seeking a Senior/Lead Data Engineer with strong hands-on experience in creating data pipelines using Snowflake, SQL,ย PL/SQL, AWS,ย experience in requirementsย &ย data analysis and data modeling.


Location:ย **Candidates MUST be local to MSP = Minneapolis. โ€“ 4 days onsite

โ€‹Required skills:

  • 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 industries
  • 8-10 years of experience in designing Application Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time 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 disparate data sources for data analytics
  • 3 years of experience inย Cloudย platformย (AWS)
  • Informatica Intelligent Cloud Services - ETL Processes to handle high-volume data for Power BI
โ€‹Nice to have skills:
  • Power BI hands-on experience

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.