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Remote Data Engineer Jobs in Eden Prairie, MN (NOW HIRING)

UnitedHealth Group

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 ...

Thrivent Financial

Senior Engineer

Minneapolis, MN · On-site +1

$109K - $149K/yr

Use data to measure progress; Promote and expand on the use of the CI/CD pipeline to improve the deployment and build process; Participate in team support rotation and provide expert knowledge on ...

Thrivent Financial

Senior Engineer

Minneapolis, MN · On-site +1

$157K/yr

Use data to measure progress; * Promote and expand on the use of the CI/CD pipeline to improve the ... Coach Engineers; * Provide guidance to junior engineers to help them learn foundational software ...

Collaboration.Ai

Senior Software Engineer

Minneapolis, MN · Remote

$125K - $165K/yr

About the Role You'll build the agentic systems and data pipelines behind NetworkOS's AI ... This opportunity is remote with a preference for candidates in the Twin Cities area (Minneapolis ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Eden Prairie, MN

Remote Data Engineer information

See Eden Prairie, MN salary details

$45.4K

$132.3K

$181K

How much do remote data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data engineer in Eden Prairie, MN is $132,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 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.
More about Remote Data Engineer jobs

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Eden Prairie, 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 $132,253 per year, or $63.6 per hour.

Data Product Manager (Contractor) MNSITE-3838

RE/SPEC Inc.

Saint Paul, MN • On-site, Remote

Contractor

Posted 7 days ago

Job description

Company Description

Big challenges need bold thinkers.

If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in.

We do not accept unsolicited resumes from third-party recruiters.

Job Description

RESPEC is seeking an experienced, strategic Data Product Manager to champion a major state enterprise modernization initiative supporting the Minnesota Department of Information Technology Services (MNIT) and the Department of Children, Youth, and Families (DCYF). In this role, you will lead the evolution of core human services data into scalable, secure, and governed data products that power the "Whole Family" approach.

You will act as the key bridge between executive stakeholders, data engineering, data science, and operational teams, driving the transition from legacy mainframe platforms to cutting-edge cloud data lakes and modern curation architectures. Your leadership will directly impact public health and human services delivery by turning raw enterprise data into trusted, consumable assets for decision-makers and frontline personnel.

Core Responsibilities

As a Data Product Manager at RESPEC, you will guide data products through their complete lifecycle-from initial ideation and architecture alignment to deployment, user adoption, and ongoing optimization:

  • Product Strategy & Roadmap: Partner with Enterprise Architecture, technical leads, and agency leadership to define the product vision, prioritize backlogs, and link data capabilities directly to state business outcomes.
  • Modernization & Lifecycle Delivery: Spearhead the migration of data pipelines from legacy mainframe environments to modern lakehouse platforms, ensuring robust data lineage, metadata cataloging, and automated data quality frameworks.
  • Cross-Functional Collaboration: Partner directly with data engineering and data science teams to build scalable pipelines, analytical models, and reusable data services in Databricks and modern cloud tools.
  • Stakeholder Enablement & Analytics: Collaborate with analytics teams to implement interactive dashboards and KPI frameworks in Tableau, Power BI, and Looker while establishing metrics that quantify data product adoption and impact.
  • Governance & Ethical Data Use: Champion robust data privacy, governance, and ethical AI standards within a regulated human services framework, ensuring strict alignment with state and federal compliance policies.
  • Knowledge Transfer & Mentorship: Lead structured knowledge transfer sessions and documentation to ensure internal teams maintain long-term operational excellence.
    Qualifications

    Required Technical Experience

    To be successful in this role, candidates must demonstrate the following foundational qualifications:

    • 4+ Years of Professional Data Experience: Proven background in data management, data engineering, data analytics, or technical product management.
    • Data Systems & Modeling: Strong hands-on understanding of relational and non-relational database systems, SQL, ETL/ELT pipelines, data warehousing, and modern data lakehouse architectures.
    • Product Leadership: Demonstrated experience managing digital or data products through the full development lifecycle, translating ambiguous business requirements into clear technical specifications and user stories.
    • Stakeholder Management: Excellent verbal and written communication skills with a proven ability to translate complex technical concepts into business-friendly terms for executive leadership.

    Preferred Qualifications

    • Databricks Expertise: Extensive hands-on experience designing or managing workflows within the Databricks platform.
    • Modern Analytics & Transformation Stack: Working familiarity with dbt as well as visualization tools such as Tableau, Power BI, Looker, or Google Analytics.
    • Programming Literacy: Fundamental understanding of Python and/or Java for data processing and platform development.
    • Public Sector / Regulated Industries: Prior experience working with large public sector agencies, healthcare, human services, or other highly regulated environments managing enterprise data sharing agreements and statistical reporting.
    • Internal Platform Development: Proven success building developer-facing data products or enterprise data meshes.
    Additional Information

    Work Model

    • Model: Remote or Hybrid. Candidates must be available during regular business hours of 7:00 AM - 6:00 PM Central Time, Monday through Friday.
    • Client Office Location: Department of Children, Youth, and Families (DCYF), 444 Lafayette Rd N, St. Paul, MN 55155.
    • Geographic Requirement: All candidates must be physically located within the United States.

    All your information will be kept confidential according to EEO guidelines.

    All your information will be kept confidential according to EEO guidelines.

    Apply