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Data Engineer Jobs in Rochester, MN (NOW HIRING)

Crenlo Engineered Cabs

Quality Engineer

Rochester, MN · On-site

$62K - $86K/yr

The Quality Engineer is responsible to develop, implement and maintain the Quality Assurance ... Collects and analyzes data to identify root cause of problems and implement corrective action ...

Nucleus RadioPharma

Quality Engineer

Rochester, MN · On-site

$100K - $130K/yr

The cGMP Quality Engineer is accountable for ensuring that radiopharmaceutical manufacturing ... Track and trend quality data to identify recurring issues and opportunities for improvement.

GDIT

Network Engineer Senior

Rochester, MN

$107K - $141K/yr

Provide tactical data link expertise to support joint, coalition, and mission partner ... across engineering, cybersecurity, operations, and mission partner teams. * Preferred Skills:

GDIT

Network Engineer Senior

Rochester, MN

$107K - $141K/yr

Provide tactical data link expertise to support joint, coalition, and mission partner ... across engineering, cybersecurity, operations, and mission partner teams. * Preferred Skills:

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All JobsData Engineer JobsData Engineer Jobs in Rochester, MN

Data Engineer information

See Rochester, MN salary details

$45.2K

$131.9K

$180.4K

How much do data engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data engineer in Rochester, MN is $131,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Rochester, MN? The most popular types of Data Engineer jobs in Rochester, MN are:
What job categories do people searching Data Engineer jobs in Rochester, MN look for? The top searched job categories for Data Engineer jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Data Engineer jobs? Cities near Rochester, MN with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rochester, MN as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $131,856 per year, or $63.4 per hour.
Software Engineer - Limited Tenure - Hybrid

Software Engineer - Limited Tenure - Hybrid

Mayo Clinic

Rochester, MN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 686 frontline employees who took The Breakroom Quiz

104th of 877 rated healthcare providers

Job description

Mayo Clinic's Genomics and Emerging Systems Unit is seeking a Software Engineer to design, develop, and maintain .NET-based applications and services that support genomics and clinical workflows.  These systems run in on-premises and cloud environments, including Microsoft Azure and Google Cloud Platform (GCP), and integrate with other enterprise systems through secure APIs and web services. The Software Engineer will build and optimize services that handle complex laboratory workflows, clinical datasets, and high-volume genomic data processing. This includes ensuring services meet performance, reliability, data integrity, and quality requirements as data volumes grow.

The role collaborates closely with cross-functional teams to translate business, clinical, and technical requirements into maintainable software solutions that meet federal regulatory guidelines. Software Engineer responsibilities include designing and implementing services aligned to enterprise architecture, including cloud-ready APIs, data integration pipelines, and secure interoperability layers for systems that primarily support genomic data and laboratory workflows.

The engineer participates in Agile and DevOps practices using tools such as GitHub, Azure DevOps, Azure Pipelines, and CI/CD frameworks. Work may include deployment automation and configuration management for both on-premises and cloud-hosted applications. Development efforts leverage modern .NET technologies, cloud-native patterns, API-first design, and secure coding practices. Responsibilities also include maintaining comprehensive technical documentation, contributing to code reviews, and participating in advanced troubleshooting through log analysis, root cause evaluation, and data/system investigation.


This position requires effective communication with peers, leaders, and clinical partners across the organization. The engineer will develop working knowledge of laboratory genomics workflows, organizational processes, and customer needs while performing technical assignments with moderate guidance and increasing autonomy.
This is a full time, limited tenure, remote position funded for 2 years.  Mayo Clinic will not sponsor or transfer visas for this position including F-1 OPT STEM.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Bachelor's degree in Computer Science/Engineering or related field; Or an Associates' degree in Computer Science/Engineering or related field with an additional 2 years of experience as described below. 

  • Have working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 yr. of experience, or 2yrs of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.). 
  • Demonstrated problem solving and time management skills. 
  • Possesses strong technical aptitude for designing and implementing software solutions. 
  • Experience with modern application development frameworks 
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. 
  • Deep hands-on technical expertise, excellent verbal and written communication skills. 
  • Experience with Agile software development techniques. 
     

Preferred qualifications:

  • Experience developing applications in hybrid environments, including on-premises systems, Microsoft Azure, and Google Cloud Platform (GCP).
  • Proficiency with C# .NET and Angular for developing modern application components, APIs, and web-based user experiences.
  • Experience supporting or modernizing legacy Windows desktop applications, including WinForms and/or WPF applications that predate modern cloud-native tooling. Have working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 yr. of experience, or 2yrs of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.). 
  • Familiarity with RESTful APIs, microservices, web services, DevOps pipelines, and CI/CD using Azure DevOps, GitHub Actions, Azure Pipelines, or similar tooling.
  • Experience with relational or NoSQL databases, analytics platforms, big-data processing, and/or enterprise data pipelines.
  • Familiarity with AI coding tools and/or specification-driven development.

  • Experience supporting or developing solutions in healthcare, clinical, Bioinformatics or genomics-focused applications is highly desirable.  
    This vacancy is not eligible for sponsorship/we will not sponsor or transfer visas for this position.  Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.


     This position is Limited Tenure.  Limited Tenure (LT) means that if you are offered the position and accept it:
         You will be categorized as a regular employee during this tenure, but employment will be terminated at the established end date.
         You commit to stay in this position until the end of the tenure (approximately x months from date of hire) before you become eligible to transfer          to a new position.
         After the completion of the limited tenure assignment, it is your responsibility to secure another role within Mayo through the job vacancy       process or employment will be ended upon the completion of the limited tenure assignment.
     

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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