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Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Eagan, MN ยท On-site

$116K - $140K/yr

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data ...

Data Engineer

Saint Paul, MN ยท On-site

$101K - $130K/yr

Data Engineer * Full Time * Onsite/Hybrid Preferred Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation ...

Data Engineer

Minneapolis, MN ยท On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

Data Engineer

Saint Paul, MN ยท On-site

$105K - $112K/yr

The Data Engineer is a core member of the APMG Technology team, responsible for building and maintaining data pipelines, integrations, and models that power the organization's reporting and ...

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements. SCHEDULE: Full-Time, Monday-Friday, 8:00am-5:00pm COMPENSATION: Starting Pay $82,000 ...

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements. SCHEDULE: Full-Time, Monday-Friday, 8:00am-5:00pm COMPENSATION: Starting Pay $82,000 ...

Data Engineer

Eagan, MN ยท On-site

$116K - $140K/yr

The Data Engineer will be responsible for the ongoing development, maintenance, support, and architecture of existing systems and platforms, ensuring solutions meet resiliency, stability, and ...

Data Engineer

Saint Cloud, MN ยท On-site

$82K - $102K/yr

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements. SCHEDULE: Full-Time, Monday-Friday, 8:00am-5:00pm COMPENSATION: Starting Pay $82,000 ...

Data Engineer

Eagan, MN ยท On-site

$95 - $110/hr

The Data Engineer will ensure technology solutions are designed to meet resiliency, stability, and operational readiness use cases while providing thought leadership to champion data management ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project Description: You will be part of the Myads reporting team responsible for building the measurement ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project Description: You will be part of the Myads reporting team responsible for building the measurement ...

Data Engineer

Minneapolis, MN ยท Hybrid

$50 - $55/hr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project Description: You will be part of the Myads reporting team responsible for building the measurement ...

Data Engineer

Minneapolis, MN ยท On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Data Engineer

Minneapolis, MN ยท On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Engineer Principal

Bloomington, MN ยท On-site

$39.89 - $55.55/hr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Engineer Lead

Lake Elmo, MN ยท On-site

$98K - $199K/yr

The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, data ...

The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, data ...

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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 22, 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

$116K - $140K/yr

Full-time

Posted 13 days ago


Job description

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data engineer. You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative team of nine data engineers. This is a rare opportunity to shape the future of our data platform, influence roadmap decisions, and play a key role in critical projects within a highly visible healthcare or financial environment. Responsibilities - Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL - Lead technical decision-making, set engineering standards, and ensure data quality and reliability across the platform - Guide and mentor junior and mid-level engineers through code reviews, technical support, and knowledge sharing - Collaborate closely with product owners and stakeholders to develop and execute data engineering strategy - Drive continuous improvement and innovation within the Rebate Data Warehouse ecosystem Required Skills and Experience - Hands-on experience with GCP Data Engineering tools: Google Cloud Storage, BigQuery, Looker Studio, Cloud Composer, Gsutil, Dataplex - Deep knowledge of Apache Beam and Apache Airflow - Strong proficiency in Python and SQL for data processing and transformation - Proven track record using GitHub in a collaborative environment - Experience in PBM, healthcare, or financial industry data environments - Flexibility, adaptability, and excellent communication skills Preferred Skills - Java familiarity or experience - Exposure to SnapLogic Benefits - Opportunity to drive strategy and influence technology direction - Leadership and mentorship opportunities to advance your career - Collaborative, supportive team culture - Exposure to cutting-edge cloud and data technologies How to Apply Ready to take the lead in data engineering and make a real impact? Submit your resume today to join our high-performing team!

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US