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

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ years of experience as a Cloud Data Engineer. * * Hands-on experience with Azure Cloud data tools (ADF ...

GCP Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

GCP Data Engineer Location: Minneapolis, MN(Remote) * Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating ...

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 ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

As a Senior Software Engineer , you will drive the full data engineering lifecycle and design, build, and deploy enterprise-scale data and AI-powered solutions. In this role, you will lead data ...

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

This role blends deep expertise in data engineering, automation, and cloud-native development with hands-on experience in advanced AI/ML techniques, Large Language Models (LLMs), prompt engineering ...

As a Data Engineer, you will develop and maintain scalable data solutions that support Target's financial systems and enterprise reporting capabilities. Working as part of an agile engineering team ...

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Remote Data Engineer information

See Minnetonka, MN salary details

$45.4K

$132.3K

$181K

How much do remote data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data engineer in Minnetonka, MN is $132,258.00, 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.

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

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

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

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Minnetonka, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,258 per year, or $63.6 per hour.

Data Engineer

Noblesoft Technologies

Minneapolis, MN • Remote

$117K - $140K/yr

Contractor

Re-posted 24 days ago


Job description

Job Role - Data Engineer
Location - Minneapolis, MN(Remote)

Job Details:
Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services
Data Engineer : Python, PySpark, Databricks with UC, Azure Services