ZipRecruiter

Log In

1

Data Engineer Jobs in Minnesota (NOW HIRING)

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 exceptional performance for their customers' businesses. Responsibilities : • Design and development of ...

VDart, Inc.

Databricks Platform & Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Databricks Platform & Data Engineer Location: Plano, TX & Minneapolis, MN (Hybrid) Type: Contract Role Summary: * Client is seeking a senior Databricks Platform & Data Engineer to join our Databricks ...

New

Chobani

Staff Data Engineer

Saint Louis Park, MN · On-site

$119K - $143K/yr

Develop and maintain analytics engineering workflows using dbt, SQL, and Python to transform raw data into analytics-ready models * Partner with analytics, BI and IT to perform code reviews ...

New

Metropolitan Council

Principal Data Engineer

Saint Paul, MN · 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 ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

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 ...

Metropolitan Council

Principal Data Engineer

Saint Paul, MN · 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 ...

Navtech

Azure Data Engineer

Hopkins, MN · 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 ...

Navtech, Inc.

Azure Data Engineer

Eden Prairie, MN · 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

Data Engineer II

Minneapolis, MN · On-site

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 ...

Apply Early

HealthPartners

Data Engineer Senior

Bloomington, MN

$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 ...

HealthPartners

Data Engineer Senior

Bloomington, MN · 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 ...

HealthPartners

Data Engineer Senior

Bloomington, MN · 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 ...

Pwc

Data Engineer - Manager

Minneapolis, MN

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 ...

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$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 ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/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 ...

BC Forward

Data Engineer: IV (Lead)

Minneapolis, MN · 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 ...

New

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Minnesota

Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do data engineer jobs pay per year?

As of Jul 1, 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.
More about Data Engineer jobs
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 job categories do people searching Data Engineer jobs in Minnesota look for? The top searched job categories for Data Engineer jobs in Minnesota 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:
Data Engineer jobs near you
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.
Data Engineer

Data Engineer

Solution Design Group

Minneapolis, MN • On-site

$119K - $143K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
Solution Design Group is a high-performance software community that builds and delivers custom software for well-known brands. 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 relational and non-relational databases, data warehouses and data lakes using databases such as SQL Server, PostgreSQL, MySQL, and Oracle
• Development, monitoring, and maintenance of data integration and processing tools and pipelines using tools such as SSIS, Informatica, Domo, dbt, or other related ETL tooling
• Strong knowledge and experience using SQL, DDL, Stored Procedures, Triggers, and SQL query optimization
• Development utilizing languages such as Python, Java, JavaScript or C#
• Experience using messaging middleware such as RabbitMQ, ActiveMQ, MSMQ and IBM MQ or other related technologies
• Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business Objects or other related Analytics tools
• Familiarity with security and security policies
• Experience with Cloud based platforms such as AWS or Azure
Qualifications:
Required:
• 5+ years of professional data development experience
• Experience delivering solutions in large scale enterprise environments
• Experience with Public Cloud Providers such as AWS and Microsoft Azure
• Experience with various ETL tools
• Education degree or certification in Computer Science, or the equivalent related work experience
• Design and development of relational and non-relational databases, data warehouses and data lakes using databases such as SQL Server, PostgreSQL, MySQL, and Oracle
• Development, monitoring, and maintenance of data integration and processing tools and pipelines using tools such as SSIS, Informatica, Domo, dbt, or other related ETL tooling
• Strong knowledge and experience using SQL, DDL, Stored Procedures, Triggers, and SQL query optimization
• Development utilizing languages such as Python, Java, JavaScript or C#
• Experience using messaging middleware such as RabbitMQ, ActiveMQ, MSMQ and IBM MQ or other related technologies
• Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business Objects or other related Analytics tools
• Familiarity with security and security policies
• Experience with Cloud based platforms such as AWS or Azure
Preferred:
• Experience with Databricks is a bonus
• Experience with DBT is a bonus
• Prior consulting or professional services experience is a bonus
Company:
SDG is an IT consulting and application development firm — simply put, we help our customers solve their business challenges through techn. Founded in 1989, the company is headquartered in Minnetonka, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply