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Data Engineering Lead Jobs in Minnesota (NOW HIRING)

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

Lead endtoend data engineering efforts, ensuring reliability, performance, and costefficient data systems * Mentor and guide junior and senior data engineers, fostering a culture of technical ...

New

... Lead by example through hands-on software development while helping establish engineering standards ... Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field, or ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... 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 ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... 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 ...

Principal Data Engineer

Saint Paul, MN · On-site

$101 - $163.84/hr

Represent data engineering in strategic planning. * Lead the design and architecture of enterprise data platforms. * Define engineering standards, frameworks, and best practices. * Drive ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Platform Engineering and Automation * Build and maintain CI/CD pipelines for the automated testing ... Lead the implementation of data solutions, from discovery and design through to deployment.

Lead the engineering, development, and delivery of enterprise data solutions utilizing Microsoft Fabric. * Engineer scalable and reusable data pipelines, data products, semantic models, and platform ...

Showing results 21-40

Data Engineering Lead information

See Minnesota salary details

$30

$68

$93

How much do data engineering lead jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data engineering lead in Minnesota is $68.64, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $76.97 per hour, depending on experience, location, and employer.

What is a data engineering lead?

Data Engineering Leads are senior professionals responsible for overseeing data engineering teams and projects. They design, build, and maintain data infrastructure, ensuring data is accessible, reliable, and secure for analytics and business use. Typically, they coordinate with data scientists, analysts, and other stakeholders to define data requirements and implement best practices in data management. Their role also involves mentoring team members, choosing appropriate technologies, and ensuring the scalability and performance of data systems.

What is the difference between Data Engineering Lead vs Data Engineer?

AspectData Engineering LeadData Engineer
Required CredentialsBachelor's or Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, related certifications optional
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data pipelines, implements data solutions, collaborates with teams
Employer & Industry UsageUsed in organizations with data teams, analytics, and BI departmentsEntry to mid-level roles in data-focused companies

The Data Engineering Lead typically oversees data projects, manages teams, and coordinates with stakeholders, requiring leadership skills and experience. Data Engineers focus on building and maintaining data pipelines and infrastructure. While both roles require similar technical skills, the Lead role involves more strategic and managerial responsibilities.

What are the key skills and qualifications needed to thrive as a data engineering lead?

To thrive as a Data Engineering Lead, you need strong expertise in data modeling, ETL pipeline development, and database architecture, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms such as AWS or Azure, as well as certifications in these systems, is highly valuable. Excellent leadership, problem-solving, and communication skills help in managing teams and collaborating with stakeholders. These competencies ensure efficient data infrastructure development, drive data-driven decision-making, and foster innovation within organizations.

What are some common challenges faced by a data engineering lead when managing large-scale data infrastructure projects?

A Data Engineering Lead often encounters challenges such as balancing short-term business needs with long-term architectural goals, ensuring data quality across multiple sources, and managing the complexity of integrating new technologies with existing systems. They also need to coordinate effectively with cross-functional teams, including Data Scientists, Analysts, and DevOps, to align on project priorities and timelines. Additionally, leading and mentoring a team of engineers requires strong communication and organizational skills to foster collaboration and continuous improvement.
What are popular job titles related to Data Engineering Lead jobs in Minnesota? For Data Engineering Lead jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Engineering Lead jobs in Minnesota look for? The top searched job categories for Data Engineering Lead jobs in Minnesota are:
Infographic showing various Data Engineering Lead job openings in Minnesota as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $142,771 per year, or $68.6 per hour.

Director Data Engineering - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 28 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
This Director of Data Engineering role will lead delivery of cloud-based data engineering solutions supporting UHC HEDIS Retrospective data processing across lines of business. The leader will oversee data engineering teams and SMEs, drive AI/GenAI adoption into technical workflows, partner closely with business and product stakeholders, and ensure scalable, compliant solutions aligned to Quality measures, NCQA requirements, and business outcomes.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Operations & Maintenance delivery lead for all UHC LOB HEDIS Retrospective data processing responsible for delivering Cloud based data engineering solutions along with driving AI implementations
  • Lead a large team of data engineers and SMEs with different skill levels in functional and technical roles
  • Manage communications with business stakeholders and auditors on functional logic and issue tracking
  • Collaborate effectively with product, cross-functional enhancement, and source teams to identify, manage, and resolve dependencies that ensure seamless delivery.
  • Drive timely resolution by escalating as needed and convening the right stakeholders
  • Engage in high-stakes conversations, navigating difficult discussions with professionalism and clarity
  • Demonstrate solid leadership presence to guide discussions, challenge assumptions, and drive accountability
  • Ask insightful, forward-looking questions to uncover functional and technical risks, gaps, and opportunities
  • Remove barriers to execution by facilitating decisions and navigating organizational complexity
  • Stay up to date on Quality measures, NCQA changes and impact to the technical solutions and business outcomes
  • Evaluate emerging trends to inform solution design and strategic innovation

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Undergraduate degree or equivalent experience
  • 8+ years of experience in the health insurance industry with core expertise in HEDIS, serving as a subject matter expert
  • 8+ years of experience using Onprem/Cloud based SQL databases in a research, consulting, or business environment
  • 5+ years of experience and understanding of HEDIS concepts and understanding of the engines in the market, expertise in HEDIS measures and HEDIS data domains (Member, Eligibility, Medical, Rx, Clinical data), including Medicare, Medicaid, and Commercial LOB nuances
  • 5+ years of experience managing personnel, including leading, coaching, and mentoring data SMEs
  • 5+ years of Agile/Kanban based delivery experience, engineering best practices including unit testing, test-driven development (TDD), continuous Integration/continuous delivery (CI/CD), pair programming, automated testing, and code reviews
  • Proven excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients
  • Experience communicating technical and methodological nuances to a non-technical audience
  • Demonstrated ability to translate analytical results into meaningful insights that inform decision-making
  • Proven problem-solving and critical thinking skills
  • Proven ability to interact collaboratively with internal business partners across multiple departments and business segments
  • Proven self-starter who can operate well in a changing and sometimes ambiguous environment
  • Exposure to incorporating GenAI and Agentic AI into technical workflows and Cloud environments/Databases

Preferred Qualifications:
  • Experience in FHIR standards and Clinical data
  • Solid experience incorporating GenAI and Agentic AI into technical workflows

*All employees working remotely 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 $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.
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.

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