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Data Engineer Jobs in Rochester, MN (NOW HIRING)

Sapsol Technologies Inc

Medical Engineer

Rochester, MN · On-site

The engineer will coordinate program execution while contributing technically to pulse sequence ... Contribute to related data processing and image reconstruction workflows when required. B) Image ...

Mayo Clinic

Software Engineer - IS-Mod

Rochester, MN · Hybrid

$102K - $143K/yr

This role focuses on Configuration Management Database (CMDB) governance, Common Service Data Model ... Working closely with Cloud Platform Engineering, ServiceNow Platform Engineering, Information ...

Mayo Clinic

Software Engineer - IS-Mod

Rochester, MN · On-site

Mayo Clinic is seeking a Software Engineer to support the design, implementation, and operational ... This role focuses on Configuration Management Database (CMDB) governance, Common Service Data Model ...

Mayo Clinic

Software Engineer - IS-Mod

Rochester, MN · On-site

Mayo Clinic is seeking a Software Engineer to support the design, implementation, and operational ... This role focuses on Configuration Management Database (CMDB) governance, Common Service Data Model ...

Mayo Clinic

Software Engineer - IS-Mod

Rochester, MN · On-site

Mayo Clinic is seeking a Software Engineer to support the design, implementation, and operational ... This role focuses on Configuration Management Database (CMDB) governance, Common Service Data Model ...

Stellantis

Resident Engineer

Rochester, MN · On-site

$96K - $123K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

GDIT

Network Engineer Senior

Rochester, MN · On-site

$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 · On-site

$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

$47.2K

$137.6K

$188.2K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Rochester, MN is $137,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,562 per year, or $66.1 per hour.

Medical Engineer

Sapsol Technologies Inc

Rochester, MN • On-site

Contractor

Re-posted 13 days ago

Job description

Role Summary

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including nonCartesian methods, and software engineering.
  • Handson experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.

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