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Data Engineer Jobs in Duluth, MN (NOW HIRING)

Senior Data Engineer III

Foxboro, WI ยท On-site

$130K - $160K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and ...

Data Analytics Infrastructure Lead

Duluth, MN ยท On-site

$106K - $133K/yr

Exempt Data Analytics Infrastructure Lead $106,000 - $133,000 | Hybrid with in person reporting to ... Bachelor's degree in computer science, computer engineering, or an equivalent field of study PLUS ...

Engineer I

Duluth, MN ยท On-site

$67K - $84K/yr

Exempt Engineer I $67,000 - $84,000 | In Person reporting to one of the following Minnesota ... Perform outage data entry and review outage events for accuracy, completeness, eligibility, storm ...

Reliability Engineer Co-op

Cloquet, MN ยท On-site

$97K - $123K/yr

Help trend equipment condition data to identify risks, troubleshoot potential issues, and recommend ... Shadow reliability engineers to learn best practices in inspection, diagnostics, and equipment ...

Reliability Engineer / Supervisor Join our team as a Reliability Engineer/Supervisor, where you'll ... Interpret data trends to identify risks, troubleshoot equipment issues, and make proactive ...

Electrical Reliability Engineer

Cloquet, MN ยท On-site

$97K - $123K/yr

Electrical Reliability Engineer / Supervisor Join our team as a Reliability Engineer/Supervisor ... Interpret data trends to identify risks, troubleshoot equipment issues, and make proactive ...

SCADA Engineer I

Duluth, MN ยท On-site

$67K - $84K/yr

Exempt SCADA Engineer I $67,000-$84,000 Hybrid As a SCADA Engineer, you'll join a growing team that ... Develop and update SCADA and ICCP point lists used for EMS/MISO data exchange and internal ...

Maintainability Engineer Sr

Duluth, MN ยท On-site

$100.51 - $150.77/hr

Overview The Maintainability Engineer Senior plays a critical role in ensuring that aircraft ... Optimizes maintenance intervals and drives alignment with reliability data. * Partners with ...

OverviewThe Maintainability Engineer Senior plays a critical role in ensuring that aircraft systems ... Optimizes maintenance intervals and drives alignment with reliability data. * Partners with ...

Overview The Maintainability Engineer Senior plays a critical role in ensuring that aircraft ... Optimizes maintenance intervals and drives alignment with reliability data. * Partners with ...

Overview The Flight Test Engineer, Staff is a senior technical role responsible for the strategic ... Oversee post-test data analysis, focusing on critical parameters such as flight stability, control ...

Flight Test Engineer Staff

Duluth, MN ยท On-site

$124.39 - $186.58/hr

Overview The Flight Test Engineer, Staff is a senior technical role responsible for the strategic ... Oversee post-test data analysis, focusing on critical parameters such as flight stability, control ...

The Flight Test Engineer, Staff is a senior technical role responsible for the strategic planning ... Oversee post-test data analysis, focusing on critical parameters such as flight stability, control ...

These tasks range from field sampling and analytical testing, to data analysis, report writing ... Co-ops work collaboratively with other process engineers as process technical support and ...

Compression Engineer

Duluth, MN

$79K - $107K/yr

Provide sound engineering to determine cost-effective solutions to urgent problems such as ... Approve pipeline test data reports * Determine spare parts requirements * Perform gas loss ...

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Showing results 1-20

Data Engineer information

See Duluth, MN salary details

$44.2K

$128.8K

$176.3K

How much do data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer in Duluth, MN is $128,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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

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

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

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

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

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

Infographic showing various Data Engineer job openings in Duluth, MN as of August 2026, with employment types broken down into 40% Full Time, 20% Part Time, 20% Contract, and 20% Nights. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $128,836 per year, or $61.9 per hour.

Senior Data Engineer III

Stellix

Foxboro, WI โ€ข On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

About Stellix
The Stellix Group of companies share a common mission of providing transformative solutions at the intersection of science and technology that enable our customers to deliver a healthier and more sustainable future. Our unique portfolio of companies is focused on helping life sciences and industry manufacturers build, connect, and transform operations and IT to make real progress in breakthrough therapeutics, food, energy, and more.
The Position
We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and actionable data. In this role, you will own and build our Enterprise Data Platform (EDP), which supports analytics and insights across the organization. Our technology stack includes Snowflake, dbt, Fivetran, Airflow, and Power BI, all running in the AWS cloud.
This is an individual contributor role with a strong emphasis on technical leadership, including ownership of architectural decisions and driving best practices, but without direct people management responsibilities. You'll be responsible for designing, developing, and maintaining all components of the EDP. You will transform raw data into reliable, actionable insights that empower strategic decision-making enterprise wide.
This role offers a clear path for growth into Principal Data Engineer or Data Architect, based on demonstrated technical expertise, cross-functional impact, and innovation in data engineering. It's ideal for someone who wants both technical ownership and strategic impact without people management responsibilities.
Responsibilities
Platform & Architecture (25%)
  • Responsible for scoping, architecting, designing, and developing robust data engineering solutions๏ฟฝincluding data pipelines, data integration, and infrastructure.
  • Support the data architect in the creation of conceptual and logical data models. Own the creation of physical data model optimized for analytics, reporting, and AI/machine learning use cases.
  • Serve as the technical owner of the data platform๏ฟฝmaking architectural decisions, maintaining high code quality, and delivering scalable, reliable solutions.

Pipeline Development & Data Integration (50%)
  • Integrate data from diverse sources, including databases, APIs, flat files and cloud platforms.
  • Design, and build performant, scalable data pipelines using tools like dbt, Fivetran, and Airflow.
  • Troubleshoot issues with production data pipelines and implement monitoring and alerting as needed.
  • Design and deliver curated datasets to support analytics engineers in building AI and BI solutions.

Collaboration & Data Quality (10%)
  • Collaborate across business, governance, QA, and analytics teams to ensure data quality, consistency, and successful solution delivery.
  • Implement data quality frameworks and automated tests to ensure integrity, trust, and traceability across the pipeline.

Technology Best Practices & Innovation (15%)
  • Define and implement enterprise scale data engineering best practices, standards and guidelines across the development life cycle.
  • Stay up to date on the latest data engineering trends and technologies, advocate for new technologies and champion their adoption to continuously improve our data infrastructure.

Qualifications:
Education: Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred.
Experience: 10+ years of Data Engineering experience, with at least 3 years in modern cloud/data stack. Demonstrated experience designing and implementing enterprise scale data platforms.
Technical Proficiency: Proficient in data management disciplines, including data integration, modeling, building data warehouses/lakes, and data quality, or other areas relevant to data engineering responsibilities and tasks.
Communication & Mindset: Strong communication skills, to be able to clearly articulate technical concepts to non-technical stakeholders. Strong problem-solving skills and a proactive, ownership-driven mindset.
Skills:
  • Proficiency in the design and implementation of modern data architectures such as cloud services (AWS, Azure, GCP) and modern data warehouse technologies (Snowflake, Databricks, Redshift, BigQuery). Experience with AWS and Snowflake preferred.
  • Experience with ETL/ELT design and development using tools like Informatica, Matillion, AWS Glue, or equivalent. Experience with Fivetran, dbt preferred.
  • Strong experience with database/big data technologies such as Oracle, SQL Server, Teradata, Apache Spark, Delta Lake, Hadoop
  • Experience with DevOps/DataOps, Continuous Integration and Continuous Delivery (CI/CD) principles/technologies using tools such as BitBucket, Jenkins, or similar.
  • Experience with Agile methodologies, common scrum practices and tools.
  • Familiarity with data quality and testing frameworks (e.g., dbt tests, Great Expectations, Soda) is a plus.

Benefits
  • Competitive Medical, Dental & Vison Insurance
  • Flexible Spending or Health Savings Accounts
  • Unlimited Vacation Time Policy
  • 10 Paid Holidays
  • 12 Paid Weeks Birthing Parent Leave
  • Retirement Savings: 401(k) and Employee Stock Ownership Plan
  • Pet Insurance
  • Employee Referral Bonus
  • Tuition Reimbursement
  • Company Paid STD, LTD, and Life Insurance

Compensation: This position offers a base salary range of $130,000 to $160,000, based on experience and qualifications. The role is also eligible for a variable compensation plan.
The posted salary range represents a good faith estimate of the expected compensation for this role at the time of posting. Final compensation will be determined based on factors such as relevant experience, skills, qualifications, internal equity, and business needs.
On-Site Requirements
This position requires a full on-site presence 5 days per week during the first 4๏ฟฝ6 months. Following that period, the role will be on-site four days per week, including Monday, Wednesday, and Thursday, with the fourth on-site day alternating between Tuesday or Friday depending on business needs.
Must be currently authorized to work in the United States.
Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of Stellix. Stellix will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established.
Please Note: Stellix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.