ZipRecruiter

Log In

1

Data Engineering Jobs in Duluth, MN (NOW HIRING)

Stellix

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

Responsible for scoping, architecting, designing, and developing robust data engineering solutions including data pipelines, data integration, and infrastructure. * Support the data architect in the ...

Allete

Data Analytics Infrastructure Lead

Duluth, MN · 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 ...

PSI

Engineering Manager

Duluth, MN · On-site

Drive continuous improvement initiatives using data-driven approaches. Requirements * Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, or related field) required; Advanced degree ...

PSI

Engineering Manager

Duluth, MN · On-site

Drive continuous improvement initiatives using data-driven approaches. Requirements * Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, or related field) required; Advanced degree ...

Altec

Engineering Intern

Duluth, MN · On-site

$23/hr

With technical guidance from more senior engineers, gather and evaluate engineering data in order to apply knowledge to relevant assignments. * Interact in an effective and appropriate manner with ...

next page

Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Duluth, MN

Data Engineering information

See Duluth, MN salary details

$45.7K

$163.9K

$241.8K

How much do data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineering in Duluth, MN is $163,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,800.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Duluth, MN as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,898 per year, or $78.8 per hour.

Senior Data Engineer III

Stellix

Foxboro, WI • 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�including 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�making 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�6 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.

Apply