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Data Engineer Data Analyst Jobs in Duluth, MN (NOW HIRING)

Stellix

Senior Data Engineer III

Foxboro, WI · 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 ...

Allete

Data Analytics Infrastructure Lead

Duluth, MN · On-site

$106K - $133K/yr

Practical experience with GitHub, Azure DevOps, deployment pipelines, source control, PowerShell, Python, notebooks, or automation patterns for analytics infrastructure and data pipeline operations.

Workiva

Spring 2027 Intern - Data Analytics

Duluth, MN · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Workiva

Spring 2027 Intern - Data Analytics

Duluth, MN · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

CCI Systems, Inc.

Data Center Technicians

Duluth, MN · On-site

Analyze test results to ensure compliance with loss of budgets and customer specifications ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

TSMG

Data collector / Driver

Superior, WI · Remote

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Superior, WI · On-site

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Sappi

Process Engineer Co-op

Cloquet, MN · On-site

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 ...

Cirrus Aircraft

Flight Test Engineer Staff

Duluth, MN · On-site

$124K/yr

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 ...

Cirrus Aircraft

Maintainability Engineer Sr

Duluth, MN · On-site

$100K - $150K/yr

The Maintainability Engineer Senior plays a critical role in ensuring that aircraft systems ... Experience with data analysis, root cause analysis, reliability testing, and continuous improvement ...

Cirrus Aircraft

Maintainability Engineer Sr

Duluth, MN · On-site

$100K - $150K/yr

OverviewThe Maintainability Engineer Senior plays a critical role in ensuring that aircraft systems ... Experience with data analysis, root cause analysis, reliability testing, and continuous improvement ...

Cirrus Aircraft

Maintainability Engineer Sr

Duluth, MN · On-site

$100K/yr

Overview The Maintainability Engineer Senior plays a critical role in ensuring that aircraft ... Experience with data analysis, root cause analysis, reliability testing, and continuous improvement ...

Cirrus Aircraft

Flight Test Engineer Staff

Duluth, MN · On-site

$124K - $186K/yr

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 ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Duluth, MN

Data Engineer Data Analyst information

See Duluth, MN salary details

$33.8K

$82.1K

$135.1K

How much do data engineer data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data engineer data analyst in Duluth, MN is $82,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

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

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

What job categories do people searching Data Engineer Data Analyst jobs in Duluth, MN look for?

The top searched job categories for Data Engineer Data Analyst jobs in Duluth, MN are:

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Duluth, MN as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $82,079 per year, or $39.5 per hour.

Senior Data Engineer III

Stellix

Foxboro, WI • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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.

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