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Remote Data Engineering Jobs in Minnesota (NOW HIRING)

Senior Data Engineer (Remote)

Rochester, MN · On-site +1

$102K - $140K/yr

... programming in SQL. 3+ years of experience building and maintaining automated data pipelines and data assets using batch and/or streaming processes. Additional Information: * Fully Remote * W2 ...

AI and Data Science Engineer III

Minneapolis, MN · On-site +1

$119K - $143K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

We are looking for proficient programmers to help advance AI development. As a member of ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Genesis10 is currently seeking an AI/ML Engineer - Remote position with a Renowned Healthcare ... Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps ...

Data Engineer

Minneapolis, MN · On-site +1

$75K - $145K/yr

... Architecture, Engineering, Construction) and business operational data (BIM models, CAD files ... project schedules/delivery data, finance/resourcing/reforecasting data, IoT/sensor data). * Build ...

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Remote Data Engineering information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do remote data engineering jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote data engineering 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.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
What are popular job titles related to Remote Data Engineering jobs in Minnesota? For Remote Data Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Minnesota look for? The top searched job categories for Remote Data Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Engineering jobs? Cities in Minnesota with the most Remote Data Engineering job openings:
Senior Data Engineer - Remote

Senior Data Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$108K - $146K/yr

Full-time

Medical, Retirement

Posted 25 days ago


UnitedHealth Group rating

7.5

Company rating: 7.5 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

221st of 867 rated healthcare providers


Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.

We are seeking a skilled and motivated Senior ETL / Data Integration Developer to join our team. This role is responsible for designing, developing, and delivering scalable ETL frameworks and components within a multi terabyte Oracle Exadata environment that integrates encounter and enrollment data from New York State (NYS) healthcare plans.

In this role, you will synthesize and integrate large, complex datasets to support the management, evaluation, and analysis of the NYS healthcare system, including the New York All Payer Database (APD). This is a hands on technical role requiring deep expertise in data integration, transformation, data quality, and performance optimization using enterprise ETL and data integration platforms. Exposure to modern or cloud based data platforms is desirable.

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:

  • Design, develop, and maintain ETL workflows, pipelines, and mappings to load healthcare data into NY APD reporting structures
  • Apply ETL development best practices, including parameterization, reusable components, modular design, and avoidance of hard coded logic
  • Build reusable frameworks and automation to reduce manual operational activities and improve reliability
  • Perform optimization, troubleshooting, and debugging of ETL processes across development, test, and production environments
  • Develop and execute unit, system, and integration testing for ETL pipelines
  • Tune and optimize ETL jobs for performance, scalability, and throughput; collaborate with data modelers and DBAs on architecture and data model optimization
  • Provide development support and conduct code reviews and walkthroughs to ensure adherence to standards and best practices
  • Enforce secure coding principles and data protection standards in accordance with State of New York policies
  • Document and maintain technical designs, ETL specifications, and operational procedures
  • Troubleshoot pre production and production ETL job failures and data quality issues
  • Perform data profiling, validation, reconciliation, and balancing checks to ensure data accuracy and completeness
  • Design and implement data quality checks and controls across ingestion, transformation, and load phases

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:

  • 5 years of hands on experience designing, developing, and supporting ETL / data integration solutions using any enterprise grade ETL or data integration tool (on prem, hybrid, or cloud)
  • 5 years of experience with Oracle databases and PL/SQL, including solid SQL development and performance tuning skills
  • 2 years of experience with scripting or programming languages (eg, Python, Shell, or similar)
  • 2 years of experience in data analysis, validation, and reconciliation
  • 2 years of healthcare data experience, including Medicaid, Medicare, Exchange, or commercial payer data
  • Experience with data modeling techniques for data warehouse and analytical environments
  • Proven experience supporting large scale, high volume data processing environments
  • Solid understanding of data warehouse architecture, database design principles, and ETL patterns
  • Proven excellent problem solving skills, attention to detail, and ability to work independently and collaboratively
  • Proven solid communication and documentation skills

Preferred Qualifications:

  • Experience with Informatica ETL suite
  • Experience or familiarity with modern or cloud based data platforms and ETL technologies (eg, Snowflake, Databricks, Azure, AWS, or similar)
  • Experience working with EDI healthcare transactions, including 834, 837, and NCPDP
  • Advanced experience working in large Oracle Exadata or high performance database environments
  • Experience implementing data quality frameworks, auditability, and reconciliation controls in regulated data environments
  • Experience using AI/LLM models to support data engineering (eg, accelerating SQL/ETL development, automating documentation, enabling data quality anomaly detection, or generating data pipeline templates) in a secure and compliant manner
  • Exposure to modern data engineering patterns, such as ELT, scalable batch processing, or hybrid architectures
  • Knowledge of HIPAA and healthcare regulatory security requirements

*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 $91,700 to $163,700 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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