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Remote Azure Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

  • Retirement

... Azure (ML Studio), AWS, GCP * 1 years of experience with CI/CD pipelines, GitHub Actions, and ... engineering best practices * Familiarity with healthcare or health insurance domain data and ...

This position also will provide mentorship to other Database Engineers. \n \n \n \n \n \n SAMPLE ... Strong experience coding and testing programs and scripts to load data using Azure data load ...

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Database Architect

Saint Paul, MN · On-site +1

$63.75 - $82.25/hr

... data security and integrity in Azure environments. This position also will provide mentorship to other architects and database engineers. \n \n \n \n \n \n SAMPLE TASKS: \n \n \n * Support design and ...

DevOps Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

  • Retirement

Manage, monitor, and optimize Azure resources including VMs, storage, VNets, firewalls, Key Vaults ... data engineering teams.Build and maintain robust GitHub Actions pipelines for continuous ...

Showing results 41-60

Remote Azure Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do remote azure data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote azure 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 are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Azure Data Engineer jobs in Minnesota?

The most popular types of Azure Data Engineer jobs in Minnesota are:

What are popular job titles related to Remote Azure Data Engineer jobs in Minnesota?

For Remote Azure Data Engineer jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Remote Azure 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.

Principal Software Engineer

UnitedHealth Group

Eden Prairie, MN • Remote

$134K - $230K/yr

Full-time

Retirement

Posted 10 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th 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.

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:

  • Delivering solutions and responsible for outcomes across data engineering, balancing feature delivery, technical debt reduction, and platform resilience
  • Own Architecture, design for key high stake projects
  • Provide clear technical and executional direction to drive predictability, quality, and accountability
  • Drive platform capabilities that expand automation for client implementations and improve transparency and traceability across file processing and data onboarding workflows
  • Ensure production stability, incident readiness, and SLA adherence for pipeline processing and client integrations through metrics driven operations and continuous improvement
  • Partner with cross functional teams to improve implementation efficiency, reduce client response times, and increase NPS through platform and process maturity
  • Guide technical direction for an end to end data engineering ecosystem leveraging cloud native services and modern patterns (e.g., Spark/Scala, Azure Data Factory, Databricks, Delta Lake, Service Bus, Snowflake)
  • Lead modernization and scalability initiatives to support multiple pipeline patterns and enable platform agnostic analytics
  • Drive adoption of AI enabled engineering workflows to improve throughput, consistency, and operational effectiveness
  • Partner with teams to design and operationalize agentic solutions that securely connect models to enterprise tools and data using MCP client server patterns
  • Security, Privacy, and Data Governance
  • Ensure engineering practices meet enterprise security, privacy, and governance standards for sensitive healthcare data, with privacy by design embedded in delivery
  • Communicate status, risks, and mitigation plans clearly across stakeholders and collaborate closely with adjacent platforms and initiatives

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:

  • 8 years of solid engineering fundamentals: system design, reliability, observability, automation, CI/CD, and secure SDLC practices
  • 5 years in engineering leadership, mentoring engineers, including ownership of delivery and operations for production systems
  • 4 years of Experience leading cloud-native and data-intensive platforms (ETL/ELT pipelines, orchestration, workflow engines, API-driven integrations)
  • 2 years of Experience with components of the current stack used across the portfolio such as: Azure services and data ecosystem: Azure Data Factory, Databricks, Delta Lake/Blob Storage, Service Bus, Snowflake
  • 1 years experience driving AI enabled build and automation initiatives that delivered measurable improvements in team level engineering productivity, cycle time, and delivery quality
  • Demonstrated ability to partner with product and operations to deliver measurable outcomes (speed-to-market, quality, stability, cost)

Preferred Qualifications:

  • Experience building or integrating with agentic tooling/automation concepts for operational transparency
  • Execution excellence: Proven to translate strategy into quarterly plans and delivers with predictable cadence
  • Operational rigor: Proven to set a high bar for reliability, incident prevention, and continuous improvement
  • Technical judgment: Proven to balance short-term delivery with long-term platform health and scalability

*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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