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Full Stack Data Engineer Jobs in Minnesota (NOW HIRING)

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Developer III

Minneapolis, MN · On-site

$199K/yr

Senior Full Stack Data Engineer (Foundry + React) Role Overview We are seeking a Senior Full Stack Data Engineer to lead the development of a mission-critical compliance reporting platform. This is a ...

Canvendor Inc

Full stack Engineer

Minneapolis, MN · On-site

Full stack Engineer Location: Minneapolis, MN (locals preferred) Job Type: Contract Exp :8+ Years ... Strong proficiency in Node.js * Experience building RESTful APIs and microservices Cloud & Data

Ubertal Inc

Full-Stack Developer

Roseville, MN · On-site

Full-Stack Developer Location: Roseville, MN Engagement Type: Contract Work Mode: Hybrid (Onsite two days per week) Duration: December 1, 2025 - June 30, 2026 (7 months) Interview Type: Microsoft ...

TriOptus LLC

Full Stack Developer IV

Minneapolis, MN · On-site

You will work closely with our product partners to engineer solutions and implement them. You will ... data fetching and state management. • Deliver high-value code from ideation to production ...

Navtech, Inc.

Sr Java Full Stack Developer

Richfield, MN · On-site

$54.75 - $70.75/hr

I have an opportunity for "Sr java Full Stack Developer" - (Richfield, MN- REMOTE till COVID). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your ...

UnitedHealth Group

Full Stack Engineer

Plymouth, MN · On-site

$72K - $130K/yr

... data and resources they need to feel their best. Here, you will find a culture guided by diversity ... We are seeking a high-performing Full Stack Engineer to join our engineering team under Optum ...

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Full Stack Data Engineer information

See Minnesota salary details

$43.6K

$132K

$186.6K

How much do full stack data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for full stack data engineer in Minnesota is $131,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $154,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.
What are popular job titles related to Full Stack Data Engineer jobs in Minnesota? For Full Stack Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Minnesota look for? The top searched job categories for Full Stack Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Full Stack Data Engineer jobs? Cities in Minnesota with the most Full Stack Data Engineer job openings:
Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,996 per year, or $63.5 per hour.

Senior Full Stack Data Engineer

UnitedHealth Group

Eden Prairie, MN • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 890 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.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle
  • Design, develop, and maintain end to end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, DBT, Snowflake SQL, and metadata driven frameworks
  • Develop and optimize high performance SQL queries, views, and stored procedures to support analytics, reporting, and provide guidance to analytics team members on effective and cost-efficient usage
  • Architect, Develop and support data integration processes including batch file ingestion and automated extracts
  • Partner with internal stakeholders to understand business objectives, study requirements, and identify appropriate technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability
  • Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT pipeline design
  • Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and operational runbooks for data loads and extracts
  • Continuously evaluate and improve data quality, monitoring, and operational efficiencies
  • Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, developing business justifications, and executing secure, compliant data transfers
  • Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences ranging from technical teams to senior leadership
  • Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across the team
  • Demonstrated ability to work independently, manage multiple priorities, and adapt to evolving business and technology requirements
  • Demonstrated analytical and troubleshooting skills, with the ability to diagnose pipeline failures, data anomalies, and performance bottlenecks

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:
  • High School Diploma/GED OR equivalent experience
  • 8+ years of hands-on data engineering experience, with an emphasis on enterprise data warehousing and ETL architecture
  • 8+ years of ETL development experience designing and building pipelines, dataflows using Azure Data Factory and/or Snowflake, including parameterized and metadata driven designs
  • 8+ years of experience using Snowflake database including creating data ingestion and extraction through stored procedures and leveraging Snowflake native utilities
  • 8+ years of experience with GitHub version control systems including code merges and cross environment deployments using CD/CI pipelines
  • 8+ years of Python experience, particularly for data processing, orchestration, or validation workflows
  • 8+ years of experience designing or consuming APIs and service based integrations (REST) within Snowflake or ADF based workflows
  • 5+ years of scripting experience (Batch, PowerShell, or similar) to support automation and operational tasks specifically on Azure platform
  • Experience processing both structured and semi structured data (e.g., fixed width files, delimited files, JSON, XML)

Preferred Qualifications:
  • Hands-on expertise in Power BI, including:
    • DAX
    • Semantic model design
    • Performance tuning
  • Hands-on expertise in React
  • .Net development experience

*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 - $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.
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