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Remote Data Engineer Jobs in Minneapolis, MN (NOW HIRING)

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

Working closely with cross-functional software engineers, data scientists, and business ... a remote-friendly environment, we encourage you to apply. You'll enjoy the flexibility to ...

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Remote Data Engineer information

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$46.5K

$135.6K

$185.6K

How much do remote data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data engineer in Minneapolis, MN is $135,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Minneapolis, MN?

The most popular types of Data Engineer jobs in Minneapolis, MN are:

What are popular job titles related to Remote Data Engineer jobs in Minneapolis, MN?

For Remote Data Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Remote Data Engineer jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Remote Data Engineer jobs?

Cities near Minneapolis, MN with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,398 per year, or $65.1 per hour.

Senior Data Engineer (Analytics)

UnitedHealth Group

Eden Prairie, MN • Remote

$91K - $163K/yr

Full-time

Retirement

Posted 11 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

As a Senior Data Engineer on the UHC Core Data KTLO team, you will join our dynamic technology organization in Eden Prairie, MN, dedicated to building and optimizing robust data pipelines and systems that power critical healthcare platforms. In this role, you will design and deliver modern data and AI-powered solutions, platforms, and automations for enterprise scale. You will work with state-of-the-art technologies such as Python, Spark, Scala, and Kafka to build scalable, high-performance data processing pipelines and apply data warehousing and modeling best practices. You will play a key role in driving innovation by identifying opportunities to streamline workflows, automate tasks, and leverage advanced tools to address complex business challenges. Focus on KTLO activities, including vulnerability remediation, tool and version upgrades, data security, and platform stability. Additionally, support Azure Data Factory pipelines, Databricks workloads, and cloud components such as Blob Storage and AzCopy.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. 

Primary Responsibilities

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
  • Design, develop, and maintain scalable data pipelines using Python, PySpark, SQL, and Databricks
  • Build and support batch and streaming data solutions using Kafka and Azure Data Factory
  • Support KTLO activities including production support, incident resolution, vulnerability remediation, platform upgrades, and system reliability
  • Implement automation and AI-enabled solutions to improve engineering efficiency and operational processes
  • Optimize data models, queries, and large-scale data processing workloads
  • Collaborate with business and technology partners to deliver high-quality data solutions
  • Ensure compliance with security, governance, and healthcare data privacy requirements
  • Contribute to CI/CD, monitoring, and cloud modernization initiatives
  • Apply and promote data warehousing, data modeling, and database design best practices
  • 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:

  • 5 years of experience in Data Engineering, Software Engineering, or a related field
  • 3 years of experience with Python, SQL, Spark/PySpark, and Databricks
  • 3 years of experience with data warehousing, dimensional modeling, and database design
  • 2 years of experience with Azure Data Factory, Azure Data Lake, or related cloud data services
  • 2 years of experience with Apache Kafka or streaming technologies
  • 2 years of production support and KTLO experience, including troubleshooting and platform maintenance
  • 1 years of experience building data pipelines using Databricks Medallion Architecture
  • 1 years of Experience with CI/CD, and automation practices

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • Experience with Azure cloud technologies
  • Experience with Airflow for workflow orchestration
  • Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code
  • Experience with Power BI, Tableau, or Looker
  • Experience working with healthcare data and HIPAA-regulated environments
  • Experience with relational and NoSQL databases such as PostgreSQL, Cosmos DB, MongoDB, or Snowflake
  • Strong analytical, problem-solving, and communication skills

*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


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