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Data Engineer Jobs in Minnesota (NOW HIRING)

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Sr. Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote? Hybrid in Minneapolis MN or Madison WI - must already be local and living within 50 miles 3-5 Must ...

Power BI Data Engineer

Minneapolis, MN ยท On-site

$105K - $120K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Sr. Data Engineer, EDM

Minnetonka, MN ยท On-site

$116K - $140K/yr

You will partner with data engineers, architects, analysts, and business subject-matter experts to interpret source data, document business rules, resolve data-quality issues, and make high-value ...

Data Engineer (On-Premise)

Minneapolis, MN ยท On-site

$95K - $118K/yr

Ziegler CAT has an opening for a Data Engineer to design, develop, maintain, and optimize Ziegler's enterprise data platform and integration architecture. This position will be responsible for the ...

Data Engineer (On-Premise)

Bloomington, MN ยท On-site

$95K - $118K/yr

Ziegler CAT has an opening for a Data Engineer to design, develop, maintain, and optimize Ziegler's enterprise data platform and integration architecture. This position will be responsible for the ...

Principal Data Engineer - Hybrid

Eagan, MN ยท On-site

$95.60 - $105.60/hr

As the Principal Data Engineer , you will serve as the most senior technical contributor on the Data Platform Engineering team. This role is responsible for providing technical leadership ...

Data Engineer - Clinical

Eden Prairie, MN ยท On-site

$116K - $140K/yr

Data Engineering Position will help address a spike in the data acquisition work we routinely perform on the Optum Data Lake (ODL). The spike is due to Clinical Performance (CP) needing several new ...

Senior Data Engineer

Minneapolis, MN ยท On-site

$110K - $150K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

Data Engineer - Clinical

Eden Prairie, MN ยท On-site

$116K - $140K/yr

Data Engineering Position will help address a spike in the data acquisition work we routinely perform on the Optum Data Lake (ODL). The spike is due to Clinical Performance (CP) needing several new ...

Principal Data Engineer (Hybrid)

Avon, MN ยท Hybrid

$133K - $194K/yr

The Principal Data Engineer will own the technical architecture of this platform, establish engineering standards, and serve as a hands-on mentor to the data development team. This role works closely ...

Principal Data Engineer (Hybrid)

Avon, MN ยท On-site

$133K - $194K/yr

The Principal Data Engineer will own the technical architecture of this platform, establish engineering standards, and serve as a hands-on mentor to the data development team. This role works closely ...

As a Lead Data Engineer, you will serve as the technical lead for the engineering team, designing and developing scalable, high-performance data solutions. You will drive the evolution of our data ...

Sr Data Engineer BI

Bloomington, MN ยท Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Sr Data Engineer BI

Bloomington, MN ยท On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Showing results 41-60

Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do data engineer jobs pay per year?

As of Sep 2, 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.

What is a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. 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.

Power BI Data Engineer

legence

Minneapolis, MN โ€ข On-site, Remote

$119K - $143K/yr

Full-time

Re-posted 16 days ago


Job description

Position Overview:ย We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven dashboards that transform complex data into clear, actionable intelligence. This role is expected to interact directly with end users regarding requirements, testing, and implementation. This position is remote with preference to align to one of Legenceโ€™ s office locations.

Key Responsibilities

Power BI Development & Visualization

  • Create sophisticated, visually stunning Power BI dashboards and reports that drive business decisions
  • Develop advanced DAX calculations, measures, and calculated columns to support complex analytical requirements
  • Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features
  • Implement dynamic report features including bookmarks, parameters, field parameters, and dynamic formatting
  • Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding

Data Engineering & Architecture

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory
  • Develop and optimize data models using star schema, snowflake schema, and other dimensional modeling techniques
  • Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms
  • Write and optimize complex SQL queries, stored procedures, and database functions for performance and efficiency
  • Establish data governance frameworks, including data quality checks, validation rules, and documentation standards

Technical Implementation

  • Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control
  • Implement row-level security (RLS) and object-level security (OLS) for data protection
  • Optimize report performance through query optimization, data model refinement, and DAX tuning
  • Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platforms
  • Automate data refresh schedules and monitor gateway configurations

Required Qualifications

Technical Skills

  • 3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server)
  • Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language)
  • Strong SQL skills with experience in database design, query optimization, and performance tuning
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles
  • Experience with data visualization best practices and UI/UX design principles
  • Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric)

Data & Analytical Expertise

  • Deep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional)
  • Strong grasp of statistical concepts and analytical methodologies
  • Ability to translate complex business requirements into technical data solutions
  • Experience with data quality assessment and data profiling

Professional Competencies

  • Proven ability to create visually compelling, executive-level dashboards and reports
  • Strong problem-solving skills with a hands-on, solution-oriented approach
  • Excellent communication skills to explain technical concepts to non-technical stakeholders
  • Detail-oriented with commitment to code quality and documentation
  • Demonstrated ability to use AI and automation in software engineering

Preferred Qualifications

  • CS or CIS bachelor 's degree
  • Microsoft certifications: PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)
  • Experience with Python or R for advanced analytics integration
  • Familiarity with Git/Azure DevOps for version control and CI/CD pipelines
  • Knowledge of DAX Studio, and other Power BI development tools
  • Experience with Power BI Embedded or custom API development
  • Understanding of data science concepts and predictive analytics

Technical Environment

  • Power BI Desktop, Power BI Service, Power BI Premium/Fabric
  • SQL Server, Azure SQL Database, Azure Synapse Analytics
  • Azure Data Factory, Azure Data Lake Storage
  • DAX Studio, Tabular Editor, Power Query
  • Git/Azure DevOps for version control

What Makes You Stand Out

  • Portfolio of impressive Power BI dashboards demonstrating design excellence and technical complexity
  • Track record of optimizing poorly performing reports and data models
  • Experience mentoring others in Power BI development and best practices
  • Contributions to the Power BI community (blog posts, speaking engagements, open-source projects)

This is a hands-on technical role requiring daily interaction with data, code, and visualization design. The ideal candidate thrives in environments where they can build solutions from the ground up and take ownership of the entire BI development lifecycle.

Base salary: $105,000โ€“$120,000 per year. This role may be eligible for participation in discretionary bonus plan based on company and individual performance.
Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range. Hiring bonuses (and any guaranteed year-end bonuses) are administered under Company policy and are not earned until all stated conditions are met (e.g., active employment on the payment date). This posting reflects compensation at the time of posting and may be updated.

Unable to provide sponsorship for this position.ย 
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