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Data Engineer Jobs in Minnesota (NOW HIRING)

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

Minneapolis, MN ยท On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data engineering function within our organization. You will take the lead in building the data infrastructure ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data engineering function within our organization. You will take the lead in building the data infrastructure ...

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

Minneapolis, MN ยท On-site

$119K - $143K/yr

Job Overview The Data Engineer focuses on the implementation, maintenance, and architecture of the MHealth Fairview data environment. The Data Engineer leverages all appropriate data tool(s) to ...

Data Engineer

Chisago City, MN ยท On-site

$80K - $120K/yr

Online apparel store Job Summary The Data Engineer builds and maintains the data layer of Kendall Howard's industrial telemetry platform. This role designs the database, develops data pipelines that ...

Data Engineer

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 ...

Data Engineer

Minnetonka, MN ยท On-site

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to solve complex data problems considering data integrity, lineage, controls, and error handling. This ...

Data Engineer

Minnetonka, MN ยท On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to solve complex data problems considering data integrity, lineage, controls, and error handling. This ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

The client is looking for a Mid-Level Data Engineer that can hit the ground running with a growing team. This team is focused on large aspect of the client and are in the process of a huge project ...

Data Engineer

Minnetonka, MN ยท On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to solve complex data problems considering data integrity, lineage, controls, and error handling.This ...

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 ...

Sr. Data Engineer

Saint Paul, MN ยท On-site

$115K - $145K/yr

Senior Data Engineer - Microsoft Fabric & Power BI Location: Vadnais Heights, MN - Hybrid What is IP Corporation? IP Corporation is a privately held, family-owned chemical manufacturing organization ...

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

Rochester, MN ยท On-site

$102K - $143K/yr

Responsibilities Data Engineer gains access to data across the organization and provides ongoing analysis of the data by monitoring, profiling and analyzing databases. Requires a mix of functional ...

Data Engineer

Rochester, MN ยท On-site

$116K - $139K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the data by monitoring, profiling and analyzing databases. Requires a mix of functional, data and technical ...

Data Engineer

Rochester, MN ยท On-site

$111K - $134K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the data by monitoring, profiling and analyzing databases. Requires a mix of functional, data and technical ...

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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 Aug 11, 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 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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.

Data Engineer

Ryan Companies

Minneapolis, MN โ€ข On-site, Remote

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Job Description:

Ryan Companies has an immediate need for a Data Engineer. This is an IN-OFFICE opportunity (4 days per week, 1 day work-from-home) in our Minneapolis headquarters office.

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. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used across all of Ryan.


The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

What you can expect to do:

Data Architecture and Modeling

  • Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources (e.g., project systems, safety logs, IoT/sensor data).

  • Design and implement effective data models, including star schemas and dimensional modeling, to support business intelligence and analytics.

  • Develop and manage data solutions to ensure efficient data storage, retrieval, and cost-effectiveness.

  • Contribute to metadata management, data cataloging, and lineage tracking to enhance the discovery and transparency of enterprise data assets.

Data Pipeline Development and Management

  • Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like Cloud Composer or Apache Airflow.

  • Implement and manage both batch and real-time data streaming pipelines to ensure timely and accurate data availability for downstream applications.

  • Write clean, efficient, and well-documented Python and SQL code to process and transform large, complex datasets.

  • Monitor, troubleshoot, and optimize data pipeline performance, identifying and resolving bottlenecks to improve efficiency and scalability.

Data Quality and Governance

  • Implement and maintain data quality frameworks to ensure the accuracy, consistency, and reliability of data across all systems.

  • Develop and implement data validation and testing procedures to maintain the highest standards of data integrity.

  • Establish and enforce data governance policies and best practices, ensuring all data handling is secure, private, and compliant with regulations.

Platform Engineering and Automation

  • Build and maintain CI/CD pipelines for the automated testing and deployment of data engineering workflows.

  • Support the deployment and monitoring of machine learning models by implementing reproducible and traceable data environments.

  • Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring.

Collaboration and Leadership

  • Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to understand data needs, design technical solutions, and translate business requirements into architectural designs.

  • Lead the implementation of data solutions, from discovery and design through to deployment.

  • Collaborate with other data engineers, fostering a culture of knowledge sharing and continuous improvement.

  • Create and maintain clear documentation for architecture, schemas, and pipeline workflows to support team knowledge and onboarding.

What we expect you should have:

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.

  • 3+ years of professional experience in data engineering or a similar role.

  • Strong programming skills in Python, SQL, with experience using tools such as Cloud Composer.

  • Proven experience designing and maintaining data pipelines using platforms such as GCP, AWS, Azure or similar.

Preferred Skills:

  • Experience building data infrastructure and services in cloud-native environments (GCP preferred).

  • Exposure to domain-driven architecture.

  • Strong collaboration and communication skills with a track record of partnering across functions to deliver high-impact solutions.

Compensation:

The base pay range is $90,000-$113,000/Annually. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.

Eligibility:

Position requires verification of employment to work in the U.S.

Benefits:

  • Competitive Salary

  • Medical, Dental and Vision Benefits

  • Retirement and Savings Benefits

  • Flexible Spending and Health Savings Accounts

  • Life Insurance

  • Short-Term and Long-Term Disability

  • Educational Assistance

  • Paid Time Off (PTO)

  • Employee Assistance and Wellness Programs

  • Parenting Benefits

  • Employee Discount Programs

  • Pet insurance

  • Ryan Foundation - charitable matching funds

  • Paid Time for Volunteer Events

Disclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document.

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Notice to Candidates:

Please be advised that initial outreach regarding employment at Ryan Companies will only occur via email from the domain @ryancompanies.com email address. If you recieve communication from someone you believe is impersonating Ryan Companies, please report it to us at humanresources@ryancompanies.com

Non-Solicitation Notice to Recruitment Agencies:

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.