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Remote Data Engineering Jobs in Minnesota (NOW HIRING)

Expleo

Data Engineer

Minneapolis, MN · On-site +1

$53 - $63/hr

Remote within USA Employment Type: Full-time Build the Data Foundations Powering the Future of Healthcare Are you a Data Engineer who thrives on turning complex, disconnected data into reliable ...

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Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Platform Engineering and Automation * Build and maintain CI/CD pipelines for the automated testing and deployment of data engineering workflows. * Support the deployment and monitoring of machine ...

Da Vinci Software

Data Engineer (Remote)

Rochester, MN · Remote

$111K - $134K/yr

Terraform / IaC or Azure DevOps exposure * Sailpoint or identity governance tools * HPC or research data workflows * Monitoring/observability tools Submission Additional Information: * Fully Remote

Da Vinci Software

Data Engineer (Remote)

Rochester, MN · Remote

$111K - $134K/yr

Terraform / IaC or Azure DevOps exposure * Sailpoint or identity governance tools * HPC or research data workflows * Monitoring/observability tools Submission Additional Information: * Fully Remote

Expleo

Senior Data Engineer

Minneapolis, MN · Remote

$64 - $74/hr

Remote within USA Employment Type: Full-time Build the Future of Healthcare Data Are you a Senior Data Engineer who thrives on building modern, scalable data platforms? Trissential is hiring a Senior ...

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$43.6K

$127K

$173.8K

How much do remote data engineering jobs pay per year?

As of Jun 5, 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.

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 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.

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:
Remote Data Engineering jobs near you

Remote Data Engineering Lead: Scalable Pipelines

Dunhill Professional Search

Virginia, MN • Remote

Full-time

Posted 23 days ago

Job description

A technology consulting firm is seeking a Data Engineering Lead to oversee the design and optimization of scalable data pipelines. This fully remote role requires expertise in data engineering principles and leading technical teams, with responsibilities including architecture design, data governance, and stakeholder collaboration. Ideal candidates will have at least 12 years of experience and advanced proficiency in distributed data processing technologies.

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