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Data Engineer Jobs in Minnesota (NOW HIRING)

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics Power BI App, the enterprise hub for financial, workforce, and operational reporting. This platform ...

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 ...

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 ...

Socket.dev

Principal Data Engineer

Saint Paul, MN · On-site

$101 - $163.84/hr

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 ...

Pwc

Data Engineer - Manager

Minneapolis, MN · On-site

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 · On-site

$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 ...

Old National Bank

Data Engineer Lead

Lake Elmo, MN · On-site

$98K - $199K/yr

Data Engineer Lead Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville | US-WI-Milwaukee Category/Function Information Technology Position Type Regular Full-Time Requisition ID 2026 ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building ...

Nastech Global

AWS Cloud Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Cloud Data Engineer Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step ...

legence

Power BI Data Engineer

Minneapolis, MN · 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 ...

legence

Power BI Data Engineer

Minneapolis, MN · 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 ...

Legence

Power BI Data Engineer

Minneapolis, MN · 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 ...

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Showing results 41-60

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 Aug 12, 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.
More about Data Engineer jobs
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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:
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Data Engineer jobs near you
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 Senior

HealthPartners

Bloomington, MN • On-site

$51.85 - $77.77/hr

Full-time

Medical, Retirement

Re-posted 7 days ago

HealthPartners rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

235th of 887 rated healthcare providers

Job description


HealthPartners is hiring a Data Engineer. This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable analytics platform that provides Finance and operational leaders with trusted, actionable insights across the organization.
The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics Power BI App, the enterprise hub for financial, workforce, and operational reporting. This platform integrates data from multiple enterprise systems and delivers a consistent, user-friendly reporting experience that enables informed decision-making, performance monitoring, financial stewardship, and strategic planning.
Working closely with finance, operational, and technology partners, this individual will design, develop, and optimize data solutions that ensure leaders have timely, accurate, and meaningful information to drive business outcomes across HealthPartners.
Required Qualifications:
  • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND Four (4) years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable.
  • Five (5) years of programming experience with command in at least two languages: SQL, Python, Java, R or Spark
  • Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server
  • Four (4) years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar)
  • Three (3) years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in Azure.
  • Experience using Git, or a comparable code repository.
  • Must be motivated, self-driven, curious, and creative.
  • Must be skilled communicator and demonstrate an ability to work with end users and business leaders.
  • Demonstrate the ability to support and complement the work of a diverse development and/or operations team.
  • Experience working in a collaborative, cross-functional team; Active participation in sprint reviews.
  • Expert Knowledge and a minimum of four years' experience in the following domains: Data management, software engineering, I&O (infrastructure and operations)

Preferred Qualifications:
  • Knowledge of health care operations
  • Exposure to agile/scrum
  • Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets.
    • Expert in Relational databases like Oracle, SQL server
    • Expert in Optimizing and tuning SQL/Oracle queries, stored procedures, and triggers.
    • Expert in Python (numpy, pandas, matplotlib etc.) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation
    • Expert in areas of CI/CD, Continuous testing, and site reliability engineering.
    • Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps.
    • Expert in event streaming tools like NiFi, Kafka and Flink
    • Expert in data processing tools, like Apache's Sqoop, Spark and Hive
    • Expert in Document or NoSQL datastores, particularly MongoDB
    • Expert in Power BI data models using advanced Power Query and DAX
    • Expert in AI/ML Ops
  • Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)
  • Collaborate effectively with product management, program management, engineers, and stakeholders.
  • Excellent analytical and critical thinking skills
  • Ability to influence without authority and thrive in an ambiguous environment.

Responsibilities:
  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Collaborate with stakeholders, data scientists and analysts to frame problems, clean, and integrate data, and determine the best way to provision that data on demand.
  • Collaborate with other developers to design technology solutions that achieve measurable results at scale.
  • Collaborate with data scientists to train, develop, and operationalize learning models.
  • Build, design, and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets for analysts and data scientists.
  • Evaluate and recommend technology and frameworks for building cross product data assets to optimize flexibility, long-term viability, and time to market.
  • Guide, mentor, influence, and adopt a cloud-first modern data architectural direction and consistently adopt the associated standards and best practices.
  • Anticipate the need for data governance and work with designated committees to ensure that data modeling and data handling procedures are compliant with applicable laws and policies across data pipeline.
  • Leads root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement advanced solutions that prevent recurring points of failure.
  • Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines.
  • Identifies multiple, complex data sources and builds advanced code to extract raw data from identified upstream sources using query languages, tools, or machine learning algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline.
  • Formulate techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
  • Participate in code reviews and champion the adoption of best practices.
  • Support the data environment by releasing new features, resolving issues for users, and working with other technology teams.
  • Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades).
  • Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines.
  • Data engineers perform other duties as required, to meet team sprint goals.

About Us
At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.
We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.
At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.
Benefits Designed to Support Your Total HealthAs a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.
Join us in our mission to improve the health and well-being of our patients, members, and communities.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.

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