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Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN

$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 · 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 · On-site

$75K - $105K/yr

Position Overview The Data Engineer is a full-time, on-site role based in Minneapolis, MN. This role is responsible for designing, building, and maintaining data pipelines that support investment ...

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

Chisago City, MN · On-site

$103K - $124K/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

Minneapolis, MN · 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 ...

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Sr. 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 with ...

Data Engineer

Minneapolis, MN · 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

Minneapolis, MN · 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 (LATAM)

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer The team requires: Minimum 5 years of hands-on experience in data engineering roles, proven track record of successfully delivering complex data projects. Advanced proficiency in Python ...

Data Engineer (LATAM)

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer The team requires: Minimum 5 years of hands-on experience in data engineering roles, proven track record of successfully delivering complex data projects. Advanced proficiency in Python ...

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a finance data platform modernization initiative. This role focuses on identifying variances between ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Onsite) Job Type: Contract Experience: Mid-to-Senior level Job Overview Our client is seeking an experienced AWS Data Engineer to join their team in ...

The Data Engineer will be responsible for a wide variety of tasks which include all aspects of the development and delivery of data solutions and maintaining the enterprise data warehouse. You will ...

Sr. Data Engineer

Edina, MN · On-site

$125K - $165K/yr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of robust, scalable data solutions that power our business. You will mentor junior engineers, drive best ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Within Food Data Engineering Americas, this role builds and operates data products on Cargill's Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed data ...

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Within Food Data Engineering Americas, this role builds and operates data products on Cargill's Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed data ...

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Within Food Data Engineering Americas, this role builds and operates data products on Cargills Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed 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 Sep 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.

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.

Data Engineer

Minneapolis, MN

Comfort Medical
Medical Equipment and Supplies Manufacturing • 11 - 50 employees

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

 

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 that enables analytics, self-service reporting, and AI-ready data systems across the organization with Microsoft Fabric as a core platform. While you will operate with autonomy, you will also partner closely with data analysts, business stakeholders, development teams, and IT to modernize our hybrid on-premises and cloud data environment.

This is a hands-on role with strategic influence-you will own the full engineering lifecycle, from assessing our current data landscape and identifying gaps, to designing and implementing pipelines, data warehouses, Fabric Lakehouses, and standardized data products. You will have the opportunity to define best practices, establish patterns, and shape the infrastructure and culture of data engineering within Comfort Medical. Success in this role will require strong technical fundamentals, the ability to work independently while collaborating effectively across teams, and a forward-thinking approach to building systems that scale with business needs.

Major Areas of Accountability

 

Data Infrastructure & Pipeline Development

 

  • Assess the current data landscape, identify infrastructure gaps, and propose solutions aligned with business needs and technical best practices.
  • Design and implement ETL/ELT pipelines including Microsoft Fabric, Synapse Spark, or modern equivalent platforms to build and maintain data warehouses, Fabric Lakehouses, and lakehouse architectures that serve analytics, self-service reporting, and AI use cases.
  • Establish data quality standards and SLAs for availability, quality, and timeliness through automated validation, testing, monitoring, alerting, and incident response processes.
  • Implement version control, CI/CD practices, and automated testing (unit, integration, data validation) to ensure reliable, safe deployment of data workflows.
  • Utilize centralized data storage solutions such as OneLake or equivalent cloud architectures.
  • Optimize pipelines and infrastructure for performance and cost efficiency.
  • Develop robust documentation for data lineage, transformations, and system architecture to support governance and knowledge sharing.

 

Self-Service Analytics Enablement

 

  • Collaborate with analysts to standardize and streamline Power BI and Fabric Semantic Models, reducing inconsistencies in reporting definitions.
  • Create user-friendly data products and views that enable non-SQL-fluent business users to self-serve analytics.
  • Implement modern data and analytics tools and frameworks (including Fabric's integrated capabilities) to ensure maintainability and scalability of data pipelines.

 

Architecture & Strategic Planning

 

  • Develop a data estate strategy that leverages Microsoft Fabric and modern data platforms, defining source systems, governance frameworks, integration patterns, and technology recommendations.
  • Design infrastructure to support emerging AI and process automation initiatives, ensuring data is structured and governed for machine learning applications across the technology stack.
  • Participate in technology evaluation and recommendation for tools, platforms, and methodologies that align with organizational goals (including Fabric capabilities).
  • Mentor and guide analysts on modern data engineering best practices and emerging tools, including Fabric.

 

Stakeholder Collaboration & Communication

 

  • Partner with business stakeholders to understand data needs and translate them into technical requirements.
  • Work closely with development teams and global IT on integration efforts, system upgrades, and infrastructure initiatives.
  • Communicate technical decisions and architecture recommendations to both technical and non-technical audiences.
  • Serve as a subject matter expert on data engineering best practices and emerging technologies.

 

Comfort Medical employees are required to conduct business to the highest ethical and professional standards; comply with applicable laws and regulations, the MedTech Code of Conduct, and company policies.

Other job duties as assigned

Basic Qualifications

 

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Master's degree preferred.
  • Minimum of 4+ years of experience in a data engineering, database, or infrastructure role, preferably in healthcare or regulated industries.
  • Demonstrated experience designing and implementing ETL/ELT pipelines in production environments.
  • Advanced proficiency in T-SQL, relational database design, and performance optimization.
  • Experience with cloud platforms (e.g., Azure) and hybrid on-premises/cloud data environments.
  • Hands-on experience with modern data pipeline tools and platforms (e.g., Microsoft Fabric, Azure Data Factory, Synapse Spark, or equivalent).
  • Strong Python programming skills for data processing, automation, and tooling including work in notebook environments.
  • Experience with data warehousing and/or lakehouse architecture concepts.
  • Familiarity with Business Intelligence tools (Power BI and Fabric Semantic Models experience a plus).
    Experience integrating with third-party platforms (e.g., Salesforce APIs).


    At Coloplast, we believe in recognizing and rewarding the contributions of our employees. Our total rewards package is designed to support your well-being, foster your professional growth, and ensure a healthy work-life balance. Here is some of what you can expect:

    • Health and Wellness: Comprehensive medical, dental, and vision insurance plans to keep you and your family healthy. Plus, access to company sponsored wellness programs and mental health resources, paid leave of absence for qualifying events and generous paid parental leave for both birthing and non-birthing parents.
    • Financial Security: A competitive 401(k) plan with company match that vest immediately, financial planning services to help you secure your future, and corporate discount programs for goods and services.
    • Work-Life Balance: Generous paid time off, flexible work hours, and flexible work arrangement options to help you balance your personal and professional life may be available.
    • Professional Development: Opportunities for continuous learning and career advancement through training programs, mentorship, and tuition reimbursement.
    • Recognition and Rewards: Recognition programs to celebrate achievements and contributions, including peer recognition, bonuses, awards, and special events.
    • Community and Culture: A supportive work environment where everyone feels valued and has a sense of belonging.  Participate in team-building activities, volunteer opportunities, and company-sponsored events. Sustainability strategy that outlines our ambitions for how to run our company in a more sustainable way.
    • Competitive Compensation:  The compensation range for this position is $87,048 - $130,572. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location. Hired candidates may be eligible to receive additional compensation in the form of bonuses and/or incentives.

Comfort Medical provides an extensive selection of name brand catheter and ostomy supplies to thousands of customers nationwide. Our attention to detail, unmatched customer service, and dedication to helping our customers live happier, healthier lives are just a few of the many reasons we are one of the fastest growing catheter and ostomy supply companies in the nation!

 

Comfort Medical employees are required to conduct business to the highest ethical and professional standards; comply with applicable laws and regulations, the Advamed Code of Ethics on Interactions with Healthcare Professionals, and company policies.

Comfort Medical is committed to a policy of Equal Employment Opportunity (EEO) which means we employ and promote individuals based on their merits, regardless of race, color, religion, sex, national origin, age, disability, veteran status, pregnancy, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, status with regards to public assistance or any other protected classification.

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