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Data Engineer Jobs in Rochester, MN (NOW HIRING)

Data Engineer (Remote)

Rochester, MN · Remote

$111K - $134K/yr

Our client is seeking an experienced Data Engineer who will support the implementation, configuration, and operationalization of Client's Globus Managed File Transfer (MFT) platform within a GCP ...

Data Engineer (Remote)

Rochester, MN · Remote

$111K - $134K/yr

Our client is seeking an experienced Data Engineer who will support the implementation, configuration, and operationalization of Client's Globus Managed File Transfer (MFT) platform within a GCP ...

Data Engineer (Remote)

Rochester, MN · On-site +1

$111K - $134K/yr

Our client is seeking an experienced Data Engineer who will support the implementation, configuration, and operationalization of Client's Globus Managed File Transfer (MFT) platform within a GCP ...

Genesis10 is currently seeking a Data Engineer - Remote position with a Renowned Healthcare Organization located in Rochester, MN. This is a 12 month contract opportunity. This role is responsible ...

Genesis10 is currently seeking a Data Engineer - Remote position with a Renowned Healthcare Organization located in Rochester, MN. This is a 12-month contract opportunity. Compensation: $75.00 - 78 ...

Genesis10 is currently seeking a Data Engineer position with a Renowned Healthcare Organization located in Rochester, MN. This is a 12-month contract opportunity. This position is 100% remote.

Senior Data Engineer Remote Contract Duration: 12 Months+ Position Overview We are seeking a Senior Data Engineer to support the design, deployment, and stabilization of an enterprise API platform ...

Contract (W2) Build Data Foundations That Power WorldClass Research Are you a Data Engineer who thrives at the intersection of largescale data movement, cloud platforms, and secure research ...

... data centers. The contractor will embed within the API Platform Engineering team to build and stabilize the infrastructure, which includes a parallel edge routing and security implementation.

Genesis10 is currently seeking a Senior Data Engineer - Hybrid for a 6+ month contract to hire opportunity with a Renowned Healthcare Organization located in Rochester or Mankato, MN; Eau Claire or ...

Senior Data Engineer (Remote)

Rochester, MN · On-site +1

$102K - $140K/yr

Our client is seeking a Senior Data Engineer who will be responsible for the support the design, deployment, and stabilization of client's enterprise Apigee Hybrid API platform across multi-cloud ...

Senior Data Engineer (Remote)

Rochester, MN · On-site +1

$102K - $140K/yr

Our client is seeking a Senior Data Engineer who will be responsible for the support the design, deployment, and stabilization of client's enterprise Apigee Hybrid API platform across multi-cloud ...

Senior Data Engineer (Remote)

Rochester, MN · On-site +1

$102K - $140K/yr

Our client is seeking a Senior Data Engineer who will be responsible for the support the design, deployment, and stabilization of client's enterprise Apigee Hybrid API platform across multi-cloud ...

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Showing results 1-20

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 Jun 9, 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.

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 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 are popular job titles related to Data Engineer jobs in Rochester, MN? For Data Engineer jobs in Rochester, MN, the most frequently searched job titles 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:
Senior Data Engineer - Healthcare Data Platforms

Senior Data Engineer - Healthcare Data Platforms

Expleo

Rochester, MN • Remote

$64 - $74/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Overview

Location: Remote within USA

Employment Type: FullTime Contract (W2)Department: Medical Education & Research - Next Gen Data Architecture

Build the Data Backbone Behind LifeChanging Healthcare

Are you a seniorlevel data engineer who thrives on ownership, scale, and realworld impact? Trissential is hiring a Senior Data Engineer to join our client's Medical Education & Research team, supporting nextgeneration healthcare data platforms.

This is a highimpact role where you'll design, build, and operate productiongrade ETL/ELT pipelines across enterprise cloud environments-powering analytics that directly support healthcare innovation.

This is not a prototypeonly role. You'll own pipelines endtoend, set technical direction when requirements are unclear, and deliver reliable, secure data systems at scale.

What's In It for You?

  • EndtoEnd Ownership - Design, deploy, and operate enterprise data pipelines from requirements through production
  • Modern Cloud Stack - Work handson with GCP, Azure, BigQuery, SQL Server, and modern orchestration tools
  • Healthcare Impact - Build systems handling PHI and healthcare data that support research, education, and patient outcomes
  • Technical Influence - Set direction, recommend tools, and shape data architecture decisions
  • Mentorship & Leadership - Coach junior engineers and elevate engineering standards across the team
  • Stability with Challenge - Longterm enterprise environment with complex, meaningful data problems

Your Role & Responsibilities

  • Design, build, and operate scalable ETL/ELT pipelines across GCP and Azure cloud platforms
  • Model large, complex datasets for analytics using dimensional modeling, normalization, and SCDs
  • Orchestrate workflows using Airflow, Cloud Composer, Azure Data Factory, or similar tools
  • Own pipelines in production-monitoring, troubleshooting, optimizing, and improving performance
  • Ensure secure handling of PHI in alignment with HIPAA requirements, including access controls and auditing
  • Translate business and stakeholder needs into clear technical designs and delivery plans
  • Implement CI/CD pipelines using Git and enterprise deployment standards
  • Identify automation and process improvements that reduce manual effort and increase reliability
  • Explore emerging data technologies and recommend enhancements to platform capabilities
  • Mentor junior data engineers and promote best practices across the team

Skills & Experience You Should Possess

  • 7+ years of data engineering experience delivering productiongrade systems
  • Advanced SQL expertise with handson experience building complex data pipelines
  • Strong development experience using Python or Java
  • Proven experience designing and operating ETL/ELT pipelines at scale
  • Handson experience across GCP, Azure, BigQuery, and SQL Server
  • Solid understanding of data modeling for analytics workloads
  • Experience with workflow orchestration tools (Airflow, ADF, Cloud Composer, Dagster, or Prefect)
  • Comfort working in enterprise environments with governance, standards, and controls

Bonus Points If You Have

  • Direct experience working with healthcare data and PHI
  • Working knowledge of HIPAA compliance and secure data handling
  • Experience supporting both batch and streaming data pipelines
  • Exposure to modern data trends such as semantic layers or LLMassisted development
  • History of influencing architecture decisions in ambiguous problem spaces

Education & Certifications You Need

  • Bachelor's degree in Computer Science, Information Technology, or a related fieldOR
  • Equivalent professional experience (5+ additional years in lieu of a degree)

What We Offer

At Trissential, you'll join our client's team working on impactful, enterprisescale healthcare data initiatives-while enjoying flexibility, strong benefits, and competitive pay.

  • Competitive Compensation -$64-$74 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, marketbased rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free telehealth, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off -Offers paid time away from work
  • EnterpriseScale Experience - Work within one of the most advanced healthcare data environments
  • Career Growth - Exposure to modern platforms, tools, and architectural decisionmaking

 

This role is open only to candidates authorized to work in the United States

Ready to Own Data That Matters?

If you're a senior data engineer who wants ownership, scale, and realworld impact-this is your opportunity. Apply today and take the next step in your data engineering career with Trissential

Employment Type: OTHER