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Data Engineer Jobs in Rochester, MN (NOW HIRING)

While hands-on work in sequence development and data workflows is expected, the role does not ... B.S. or M.S. in Electrical Engineering, Biomedical Engineering, Physics, Computer Science, or ...

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 ...

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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.
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:
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.
Process Engineer - Optical Manufacturing

Process Engineer - Optical Manufacturing

Domaille Engineering

Rochester, MN • On-site

$65K - $90K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Description

POSITION SUMMARY

The Process Engineer is responsible for developing, optimizing, and standardizing polishing processes through structured experimentation, statistical analysis, and hands-on process development. This role will lead Design of Experiments (DOE) efforts to identify and control key process variables, improve repeatability, and establish validated operating procedures. 


This position supports both manufacturing and commercial teams by translating application and customer requirements into controlled, scalable process solutions. The engineer also supports lab-based development activities in collaboration with a Process Technician who assists with operational experimentation, data collection, and testing. 


ITAR REQUIREMENTS

This position is subject to the International Traffic in Arms Regulations (ITAR), which restricts access to export-controlled information to U.S. persons. A U.S. person is generally defined as a U.S. citizen, U.S. national, lawful permanent resident, or others specifically authorized under U.S. export regulations. General work authorization (e.g., work permit or EAD) or visa sponsorship does not meet ITAR requirements.


ESSENTIAL JOB FUNCTIONS

Process Development & Design of Experiments (DOE)

  • Execute structured Design of Experiments (DOE) to identify and evaluate critical process variables impacting performance.  
  • Develop statistically valid experimental plans for polishing applications across multiple iterations.  
  • Perform statistical analysis (e.g., regression, ANOVA, response analysis) to identify key drivers of performance, repeatability, and quality.  
  • Establish and validate optimal process operating windows and standardized process conditions.  
  • Maintain a structured database of process conditions, experimental results, and validated parameters for reference and scalability.  
  • Improve process consistency, yield, and performance through iterative experimentation and refinement. 

Technical Collaboration & Process Execution

  • Interface with Product Management and customers to understand application requirements and translate them into technical process parameters.  
  • Support troubleshooting and root cause analysis for performance issues.  
  • Drive continuous improvement initiatives to expand internal expertise in process control. 
  • Work in collaboration with a Process Technician to execute DOE plans, including sample preparation, testing, and data collection.  
  • Ensure accurate documentation, repeatability, and adherence to experimental protocols.  
  • Support effective lab operations to ensure timely execution of development work and experimental priorities.  
  • Contribute to building deeper technical understanding of variables to improve process control and capability. 

Requirements

SKILL REQUIREMENTS

  • Proficient in a Windows-based environment with advanced Microsoft Excel skills for data analysis, experimental tracking, and reporting of DOE results. 
  • Familiarity with ERP/MRP systems and production planning tools such as Global Shop.   
  • Strong prioritization and organizational skills with the ability to multi-task in a fast-paced production environment. 
  • Strong professionalism and effective written and oral communication, both internally and externally.  
  • Strong problem solving and analytical skills. 
  • Collaborate well cross-functionally with sales, product development, engineering, quality, and customers.  
  • Demonstrate a hands-on, self-starting attitude with strong interpersonal and technical skills.  


QUALIFICATIONS

  • Possess a Bachelor's degree in Mechanical, Electrical, Industrial, Robotics, Materials, Chemical, Production Engineering, Physics, or a related field or an equivalent combination of education and hands-on manufacturing/engineering experience 
  • Experience utilizing Design of Experiments (DOE) methodologies to support process development, optimization, validation, and root cause analysis through statistical analysis and data-driven decision making. 
  • Preferred experience operating, debugging, and working with electro-mechanical equipment used in fiber optic cable assembly, including polishing, curing, cleaving, and inspection with optical test equipment such as microscopes, interferometers, and signal testers. 
  • Industry experience in fiber optic polishing, precision machining, or grinding processes involving materials such as glass, ceramics, optics, and metals is preferred. 
  • Ability and willingness to travel regularly, approximately one week per month during the first year and potentially up to two weeks per month thereafter, including overnight air travel. 


BENEFITS START DAY 1

  • Generous paid time off + 10 paid holidays (including your birthday) 
  • Medical, dental, and vision coverage
  • HSA, FSA, Dependent Care FSA options
  • Life Insurance & long-term disability
  • Minnesota Paid Family & Medical Leave benefits
  • 401(k) with company match 
  • Employee Assistance Program 
  • Additional supplemental offerings


WORK ENVIRONMENT

  • This position is office-based and involves regular exposure and interaction with active manufacturing areas on the production floor
  • Appropriate personal protective equipment (PPE), including safety glasses, hearing protection, and composite or steel-toe shoes, must be worn as required.
  • The work environment is a clean, climate-controlled facility with modern equipment and a safety-first culture. Ambient conditions include typical plant lighting and machinery operation.   


PHYSICAL DEMANDS

  • Sit or stand as needed. 
  • Walking primarily on a level surface for periodic periods throughout the day. 
  • Reaching above shoulder height, below the waist, or lifting as required to reach documents or store materials throughout the workday. 
  • Proper lifting techniques required.


SAFETY COMPLIANCE

All employees are expected to understand and follow the Company's safety policies and procedures while performing their job responsibilities. Employees must comply with hazardous waste handling and disposal procedures as required. Adherence to these practices helps protect employees, the workplace, and supports the Company's business objectives.     


EQUAL EMPLOYMENT OPPORTUNITY

Domaille Engineering is an Equal Opportunity Employer. All terms and conditions of employment are administered without regard to an individual's race, color, religion/creed, national origin, sex, gender identity or expression, sexual orientation, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.


NOTE: This job description outlines the general nature and level of work for this position and is not all-inclusive. Duties may change as business needs evolve, and employees may be asked to perform other related tasks. Reasonable accommodations will be made to enable individuals with disabilities to perform essential functions. Employment is at-will and nothing in this description creates or implies a contract. Â