1

Senior Data Engineer Jobs in Minnesota (NOW HIRING)

Senior Data Engineer

Eden Prairie, MN · On-site

$91.70K - $163.70K/yr

A Senior Data Engineer at Optum Technology is responsible for designing, building, and operating scalable, secure, and high-quality data platforms that enable analytics, reporting, AI/ML, and ...

Senior Data Engineer

Eden Prairie, MN · Remote

$91.70K - $163.70K/yr

Senior Data Engineer Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health ...

Senior Data Engineer

Saint Paul, MN · On-site

$100K - $120K/yr

Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in St. Paul, Minnesota (MN). This is an in-office opportunity Kimley-Horn is building an enterprise data platform to ...

Senior Data Engineer

Saint Paul, MN · On-site

$100K - $120K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in St. Paul, Minnesota (MN). This is an in-office opportunity Responsibilities Kimley-Horn is building an ...

Senior Data Engineer

Saint Paul, MN · On-site

$100K - $120K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in St. Paul, Minnesota (MN). This is an in-office opportunity Responsibilities Kimley-Horn is building an ...

Senior Data Engineer Location: Minneapolis, MN ( Onsite ) Position : ( C2C Role ) Duration : ( 6+ Months) Pay Range : $50 - 57/Hr Skills: Microsoft, Python, PySpark, ETL Process, Data Integration ...

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in St. Paul, Minnesota (MN). This is an in-office opportunity Responsibilities Kimley-Horn is building an ...

Senior Data Engineer

Saint Paul, MN · On-site

$100K - $120K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in St. Paul, Minnesota (MN). This is an in-office opportunity Responsibilities Kimley-Horn is building an ...

Senior Data Engineer

Eden Prairie, MN · On-site

$91.70K - $163.70K/yr

The Senior Data Engineer is responsible for the architecture, implementation, and end-to-end optimization of Oracle Exadata Database Machines both On-Prem and Exadata Cloud Services (ExaCC/ExaCS)

Sr. Data Engineer

Minnetonka, MN · On-site

$93K - $124K/yr

Summary As the Sr. Data Engineer, you will play a critical role in building and architecting automation and observability for the EDAS platform, with a particular focus on the data consumption side ...

Senior Data Engineer

Eden Prairie, MN · Remote

$91.70K - $163.70K/yr

The Senior Data Engineer is responsible for the architecture, implementation, and end-to-end optimization of Oracle Exadata Database Machines both On-Prem and Exadata Cloud Services (ExaCC/ExaCS)

Senior Data Engineer

Eden Prairie, MN · Remote

$108.10K - $146.80K/yr

Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) ...

next page

Showing results 1-20

Senior Data Engineer information

See Minnesota salary details

$79.3K

$123.7K

$171.4K

How much do senior data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for senior data engineer in Minnesota is $123,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $141,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

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 Senior Data Engineer jobs in Minnesota? For Senior Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Senior Data Engineer jobs? Cities in Minnesota with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in MN? For Senior Data Engineer jobs in MN, the most frequently searched job titles are:
Infographic showing various Senior Data Engineer job openings in Minnesota as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 84% In-person, 11% Hybrid, and 5% Remote job distribution, with an average salary of $123,727 per year, or $59.5 per hour.
Senior Data Engineer

Senior Data Engineer

UnitedHealth Group

Eden Prairie, MN • On-site

$91.70K - $163.70K/yr

Full-time

Retirement

Posted 10 days ago


UnitedHealthcare rating

7.8

Company rating: 7.8 out of 10

Based on 651 frontline employees who took The Breakroom Quiz

101st of 864 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology, to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together.
A Senior Data Engineer at Optum Technology is responsible for designing, building, and operating scalable, secure, and high-quality data platforms that enable analytics, reporting, AI/ML, and business decision-making. The role emphasizes cloud-native data engineering, strong data quality and governance, and close collaboration with product, analytics, and platform teams.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Design, build, and operate scalable ETL/ELT pipelines for structured and semi-structured data across internal and external sources
  • Develop cloud-native data solutions on modern data platforms (e.g., Databricks lakehouse, Snowflake)
  • Apply data modeling, transformations, and enrichment to produce trusted, analytics-ready datasets
  • Ensure data quality, reliability, and auditability through validation, reconciliation, and monitoring
  • Implement and follow enterprise data governance, security, and compliance standards
  • Optimize data workloads for performance, cost efficiency, and operational reliability
  • Support modernization efforts, including migration of legacy ETL pipelines to cloud-native architectures
  • Partner with product, analytics, and business stakeholders to translate requirements into production-grade data solutions
  • Enable downstream analytics, reporting, and AI/ML workloads through well-designed data assets
  • Apply software engineering best practices, including CI/CD, version control, testing, and code reviews
  • Contribute to architectural discussions and mentor junior engineers.
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering related field
  • 6+ years of experience as a Data Engineer or in data platform / analytics engineering roles
  • 5+ years of experience with SQL, data modeling, and data transformations
  • 5+ years of hands-on experience with Databricks and/or Snowflake and large-scale data processing
  • 5+ years of experience building ETL/ELT pipelines, data warehouses, and analytical data stores
  • 5+ years of experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)

Preferred Qualifications:
  • Working knowledge of cloud architecture, scalability, and fault-tolerant design
  • Familiarity with data quality frameworks and enterprise data ecosystems
  • Experience with lakehouse patterns (e.g., medallion/Bronze-Silver-Gold architectures)
  • Proficiency in Spark and Python for data engineering workloads
  • Experience with data governance, metadata, and lineage tools
  • Exposure to AI/ML or advanced analytics enablement through curated data assets
  • Experience migrating legacy data platforms to modern cloud environments
  • Prior experience mentoring engineers or contributing to engineering standards and best practices

Behavioral Expectations:
  • Demonstrates technology acumen and stays current with industry trends
  • Operates with ownership, accountability, and operational rigor
  • Balances speed with quality, security, and resilience
  • Actively contributes to continuous improvement and engineering standards

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
#RPO #GREEN

What UnitedHealthcare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom