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From Home Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN ยท On-site +1

$90K - $113K/yr

This is an IN-OFFICE opportunity (4 days per week, 1 day work-from-home) in our Minneapolis headquarters office. The Data Engineer will play a foundational role in building and maintaining the data ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

This role is hybrid, which means you will work some days on site at the client's location and some days virtually from home. Position Summary/ Hire an experienced Data Engineer to design, build, and ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

This role is hybrid, which means you will work some days on site at the client's location and some days virtually from home. Position Summary/ Hire an experienced Data Engineer to design, build, and ...

Data Engineer

Minneapolis, MN ยท Hybrid

$50 - $55/hr

This role is hybrid, which means you will work some days on site at the client's location and some days virtually from home. Position Summary/ Hire an experienced Data Engineer to design, build, and ...

Data Engineer

Eagan, MN ยท On-site

$95 - $110/hr

Genesis10 is currently seeking a Data Engineer - Remote for a contract position with a Leading ... have a career-home in Genesis10; many of our consultants have been working exclusively with ...

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL ...

Data Engineer

Saint Cloud, MN ยท On-site

$82K - $102K/yr

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office ... Design and build ingestion pipelines from on-premises SQL Server and other source systems into ...

Data Engineer

Chisago City, MN ยท On-site

$80K - $120K/yr

Improve dashboards based on feedback from engineering and service teams. Operations & Documentation * Troubleshoot data quality and reporting issues. * Maintain documentation, data dictionaries, and ...

New

Data Engineer

Rochester, MN

$116K - $139K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the ... A successful history of manipulating, processing and extracting value from large disconnected ...

New

Data Engineer

Rochester, MN

$111K - $134K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the ... A successful history of manipulating, processing and extracting value from large disconnected ...

New

Data Engineer

Minneapolis, MN ยท On-site

$120K - $140K/yr

SDG's Data Engineers have proven experience with the following responsibilities ... If you do too, we want to hear from you: * Design and development of relational and non-relational ...

Data Engineer Lead

Lake Elmo, MN ยท On-site

$98K - $199K/yr

Identifies opportunities for improvement and seeks insights from other sources to generate ... Data Engineer, Senior Software Engineer, or equivalent. * 5 plus years working in AWS Cloud (AWS ...

Data Engineer

Minneapolis, MN ยท On-site +1

$120K - $140K/yr

SDG's Data Engineers have proven experience with the following responsibilities ... If you do too, we want to hear from you: * Design and development of relational and non-relational ...

Data Engineer

Eden Prairie, MN ยท Remote

$72K - $130K/yr

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data ... You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some ...

Data Engineer | TELECOMMUTE

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Creating scalable data pipelines for reporting teams from the data warehouse to our BI tool Team: * We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders * We have 1 product ...

Data Engineer Lead

Lake Elmo, MN ยท On-site

$98K - $199K/yr

Identifies opportunities for improvement and seeks insights from other sources to generate ... Data Engineer, Senior Software Engineer, or equivalent. * 5 plus years working in AWS Cloud (AWS ...

Data Engineer

Eden Prairie, MN ยท On-site

$72K - $130K/yr

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data ... You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some ...

Data Engineer Principal

Bloomington, MN ยท On-site

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Engineer Principal

Bloomington, MN ยท On-site

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Lead Data Engineer

Eagan, MN ยท Hybrid

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per ...

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Showing results 1-20

From Home Data Engineer information

What is a From Home Data Engineer?

A From Home Data Engineer is a professional who designs, builds, and maintains data systems and infrastructure while working remotely. They are responsible for collecting, processing, and storing large amounts of data, ensuring that it is accessible and usable for analysis. These engineers often use tools like SQL, Python, and cloud platforms such as AWS or Azure to manage data pipelines. Working from home, they collaborate with team members virtually to support business intelligence and data analytics needs.

How do From Home Data Engineers typically collaborate with team members and stakeholders given the remote work setup?

From Home Data Engineers often rely on digital collaboration tools such as Slack, Zoom, and project management platforms to communicate with fellow engineers, data analysts, and business stakeholders. Regular virtual meetings, code reviews, and shared documentation help ensure everyone is aligned on project goals and timelines. While working remotely can present challenges like time zone differences and fewer face-to-face interactions, successful data engineers proactively schedule check-ins and participate in team channels to stay connected and maintain strong working relationships.

What are the key skills and qualifications needed to thrive as a From Home Data Engineer, and why are they important?

To thrive as a From Home Data Engineer, you need strong proficiency in programming languages like Python or Scala, a solid understanding of database systems, and typically a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving skills, self-motivation, and effective virtual communication are vital soft skills in remote settings. These skills and qualities enable efficient data processing, collaboration, and delivery of reliable analytics solutions while working independently from home.

What is the difference between From Home Data Engineer vs From Home Data Analyst?

AspectFrom Home Data EngineerFrom Home Data Analyst
Required CredentialsBachelor's in CS, Engineering, or related; experience with cloud platformsBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentRemote, often collaborating with engineering teamsRemote, working with business teams to interpret data
Industry UsageTech, finance, healthcare, and moreRetail, marketing, finance, and other sectors
Common Search/ComparisonFrom Home Data Engineer vs From Home Data Analyst

While both roles involve working with data remotely, From Home Data Engineers focus on building data pipelines and infrastructure, whereas From Home Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Data Engineer jobs in Minnesota? The most popular types of Data Engineer jobs in Minnesota are:
Infographic showing various From Home Data Engineer job openings in Minnesota as of July 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution.
Data Engineer

Data Engineer

Ryan Companies

Minneapolis, MN โ€ข On-site, Remote

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Job Description:

Ryan Companies has an immediate need for a Data Engineer. This is an IN-OFFICE opportunity (4 days per week, 1 day work-from-home) in our Minneapolis headquarters office.

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. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used across all of Ryan.


The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

What you can expect to do:

Data Architecture and Modeling

  • Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources (e.g., project systems, safety logs, IoT/sensor data).

  • Design and implement effective data models, including star schemas and dimensional modeling, to support business intelligence and analytics.

  • Develop and manage data solutions to ensure efficient data storage, retrieval, and cost-effectiveness.

  • Contribute to metadata management, data cataloging, and lineage tracking to enhance the discovery and transparency of enterprise data assets.

Data Pipeline Development and Management

  • Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like Cloud Composer or Apache Airflow.

  • Implement and manage both batch and real-time data streaming pipelines to ensure timely and accurate data availability for downstream applications.

  • Write clean, efficient, and well-documented Python and SQL code to process and transform large, complex datasets.

  • Monitor, troubleshoot, and optimize data pipeline performance, identifying and resolving bottlenecks to improve efficiency and scalability.

Data Quality and Governance

  • Implement and maintain data quality frameworks to ensure the accuracy, consistency, and reliability of data across all systems.

  • Develop and implement data validation and testing procedures to maintain the highest standards of data integrity.

  • Establish and enforce data governance policies and best practices, ensuring all data handling is secure, private, and compliant with regulations.

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 learning models by implementing reproducible and traceable data environments.

  • Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring.

Collaboration and Leadership

  • Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to understand data needs, design technical solutions, and translate business requirements into architectural designs.

  • Lead the implementation of data solutions, from discovery and design through to deployment.

  • Collaborate with other data engineers, fostering a culture of knowledge sharing and continuous improvement.

  • Create and maintain clear documentation for architecture, schemas, and pipeline workflows to support team knowledge and onboarding.

What we expect you should have:

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.

  • 3+ years of professional experience in data engineering or a similar role.

  • Strong programming skills in Python, SQL, with experience using tools such as Cloud Composer.

  • Proven experience designing and maintaining data pipelines using platforms such as GCP, AWS, Azure or similar.

Preferred Skills:

  • Experience building data infrastructure and services in cloud-native environments (GCP preferred).

  • Exposure to domain-driven architecture.

  • Strong collaboration and communication skills with a track record of partnering across functions to deliver high-impact solutions.

Compensation:

The base pay range is $90,000-$113,000/Annually. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.

Eligibility:

Position requires verification of employment to work in the U.S.

Benefits:

  • Competitive Salary

  • Medical, Dental and Vision Benefits

  • Retirement and Savings Benefits

  • Flexible Spending and Health Savings Accounts

  • Life Insurance

  • Short-Term and Long-Term Disability

  • Educational Assistance

  • Paid Time Off (PTO)

  • Employee Assistance and Wellness Programs

  • Parenting Benefits

  • Employee Discount Programs

  • Pet insurance

  • Ryan Foundation - charitable matching funds

  • Paid Time for Volunteer Events

Disclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document.

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Notice to Candidates:

Please be advised that initial outreach regarding employment at Ryan Companies will only occur via email from the domain @ryancompanies.com email address. If you recieve communication from someone you believe is impersonating Ryan Companies, please report it to us at humanresources@ryancompanies.com

Non-Solicitation Notice to Recruitment Agencies:

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.