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Data Engineer Jobs in Austin, MN (NOW HIRING)

Geotek LLC

Process Engineer

Stewartville, MN · On-site

$74K - $102K/yr

You'll run trials and interpret the data, chase down the root cause when quality drifts, design ... If you've engineered a continuous process, the material is learnable and we'll teach it. What You ...

IBI Data

Default Job Application

Brownsdale, MN · On-site

... data and web programming, etc. New employees must be willing to do various jobs listed above since our business workloads fluctuate to different areas at different times. Also, being able to do ...

IBI Data

Default Job Application

Brownsdale, MN · On-site

... data and web programming, etc. New employees must be willing to do various jobs listed above since our business workloads fluctuate to different areas at different times. Also, being able to do ...

Geotek LLC

Applications Engineer

Stewartville, MN · On-site

$74K - $102K/yr

Interpret test data from our lab and make the design call * Lead or contribute to new product development. We're actively adding product lines * Produce engineering drawings, BOMs, and reports

Geotek LLC

Manufacturing Engineer

Stewartville, MN · On-site

$75K - $113K/yr

Conduct engineering trials and analyze production data * Support capital projects from concept through implementation * Train production teams on new processes What We're Looking For * Bachelor ...

Geotek LLC

Controls Engineer

Stewartville, MN · On-site

$66K - $113K/yr

Analyze production data to identify trends and recommend process improvements * Estimate ... Bachelor's degree in Engineering with 2+ years of experience in automation or robotics * Hands-on ...

Geotek LLC

Sr. Applications Engineer

Stewartville, MN · On-site

$98K - $138K/yr

Interpret lab and field test data to drive design decisions * Create and review engineering drawings, documentation, and technical specifications * Support technical conversations with customers and ...

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All JobsData Engineer JobsData Engineer Jobs in Austin, MN

Data Engineer information

See Austin, MN salary details

$43.3K

$126.3K

$172.8K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Austin, MN is $126,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $133,900.00 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.
More about Data Engineer jobs

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Austin, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $126,307 per year, or $60.7 per hour.

Senior Data Engineer - Corporate Office (Austin, MN preferred)

Columbus Craft Meats

Austin, MN

$103K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

SENIOR DATA ENGINEER - CORPORATE OFFICE (AUSTIN, MN PREFERRED)  

HORMEL FOODS CORPORATION

To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time. 

ABOUT HORMEL FOODS 

Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with approximately $12 billion in annual revenue across more than 80 countries worldwide. Its brands includePlanters, Skippy,SPAM,HormelNatural Choice, Applegate, Wholly, HormelBlack Label, Columbus, Jennie-O and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News & World Report, one of America's most responsible companies by Newsweek, recognized by TIME magazine as one of the World's Best Companies, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. For more information, visitwww.hormelfoods.com. 

SUMMARY:

As a Senior Data Engineer, you will lead the Supply Chain Data Engineering team responsible for delivering curated data assets, data pipelines, dimensional models, semantic models, and foundational data capabilities that support planning, procurement, manufacturing, inventory, logistics, and transportation across Hormel Foods. 

This role plays a key part in advancing our Enterprise Data Foundation by leveraging technologies Google Cloud Platform (GCP), BigQuery, Composer (Airflow), enterprise Python-based ingestion and orchestration capabilities, Incorta, and enterprise semantic layer technologies. This role will help bridge Hormel's modern cloud data ecosystem and legacy enterprise data platforms while delivering trusted data assets that power Supply Chain analytics and decision-making. 
  

RESPONSIBILITIES: 

  • Lead and develop the Supply Chain Data Engineering team responsible for delivering curated data assets, data pipelines, dimensional models, semantic models, and foundational data capabilities supporting planning, procurement, manufacturing, inventory, logistics, and transportation. Utilize enterprise ingestion, orchestration, and platform capabilities to acquire, integrate, transform, and curate data that supports analytics, reporting, and business decision-making.
  • Partner with Supply Chain stakeholders, Data Products & Solutions teams, architects, data scientists, and application teams to prioritize initiatives and deliver scalable data solutions that support business objectives.
  • Design, develop, and support Supply Chain data solutions across modern and legacy platforms, including BigQuery, Composer (Airflow), Python, Incorta, Oracle Analytics Server (OAS), Oracle Enterprise Data Warehouse, Informatica, PL/SQL, and enterprise semantic layer technologies.
  • Establish and promote engineering best practices, including data modeling standards, code reviews, testing strategies, CI/CD adoption, monitoring, observability, and operational support processes.
  • Partner with Data Governance teams and business data stewards to implement and maintain data quality rules, metadata cataloging, business glossary definitions, critical data elements, observability capabilities, and data remediation processes across Supply Chain data domains.
  • Drive modernization initiatives that advance the Enterprise Data Foundation, improving scalability, reliability, developer productivity, and long-term maintainability while reducing technical debt.
  • Provide technical leadership through architecture reviews, design reviews, mentoring, coaching, and cross-functional collaboration with Data Platform Engineering, Architecture, Infrastructure, Security, Governance, and Integration teams.

QUALIFICATIONS:

Required

  • Bachelor's degree in computer science, MIS, engineering, mathematics, or related field, and significant experience supporting enterprise data, analytics, and technology platforms. 
  • 7+ years of experience developing and optimizing SQL solutions.
  • 7+ years of experience designing, implementing, and supporting enterprise data warehouse, lakehouse, or modern data platform solutions. 
  • 5+ years of experience developing data pipelines and data integration solutions using Python and/or modern ETL/ELT technologies.
  • Strong experience with dimensional modeling, semantic modeling, and curated analytical data structures, including development and support of enterprise semantic layer solutions. 
  • Demonstrated leadership experience leading technical teams, mentoring engineers, and delivering cross-functional initiatives. 
  • Experience partnering with business stakeholders to translate business requirements into scalable data solutions.
  • Strong understanding of Supply Chain business processes including planning, procurement, manufacturing, inventory management, logistics, transportation, or warehouse operations. 
  • Experience implementing data quality, monitoring, observability, and operational support practices.
  • Excellent communication, organizational, problem-solving, and stakeholder management skills. 
  • Applicants must not now, or at any time in the future, require employer sponsorship for a work visa. 
  • Applicants must be authorized to work in the United States for any employer. 


Preferred

  • Experience with Google Cloud Platform technologies including BigQuery, Cloud Storage (GCS), Composer (Airflow), Dataflow, Pub/Sub, and Data Fusion.
  • Experience utilizing enterprise ingestion and orchestration frameworks to acquire, process, and curate enterprise data assets.
  • Experience developing enterprise-scale data pipelines and data integration solutions using Python.
  • Experience with Incorta analytics and data platform technologies.
  • Experience designing and implementing semantic layer solutions utilizing technologies such as AtScale, Cube, Oracle Analytics Server (OAS), or similar platforms.
  • Experience designing and supporting curated data products for enterprise analytics and self-service reporting. 
  • Experience with Oracle Enterprise Data Warehouse environments.
  • Experience with Informatica ETL development.
  • Advanced SQL and PL/SQL development, performance tuning, and optimization experience.
  • Experience partnering with Data Governance teams and business data stewards on metadata management, business glossary development, data quality initiatives, observability, critical data elements, and remediation processes.
  • Experience supporting enterprise data modernization initiatives spanning both cloud-native and legacy data ecosystems.
  • Experience within food manufacturing, consumer packaged goods (CPG), Supply Chain, logistics, or related industries.
  • Experience managing and developing technical teams.

LOCATION: Corporate Office Austin, MN preferred; Eden Prairie Sales Office, Eden Prairie MN   

A comprehensive relocation package to the above areas will be offered, if required.  

At Hormel Foods, base pay is one part of our total compensation package and is determined within a range. The base hiring pay range for the Senior Data Engineer role is between $119,525 - $167,325 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.

BENEFITS: Other components of Hormel Foods' total compensation package includes comprehensive medical, dental and vision coverage, discretionary annual merit increases, bonuses and profit sharing, 401(k) with employer match, stock purchase plan, paid time off, free two-year community/technical college tuition for children of employees, and more.

TRAVEL REQUIREMENTS: 10% of the time 

For immediate consideration, apply online at: www.hormelfoods.com/careers

At Hormel we invite difference and diversity in all aspects.  We offer a space of support, understanding, and community.  We are committed to the journey!  Learn more about our progress here: https://www.hormelfoods.com/about/inclusion-and-belonging/

Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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