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Data Solutions Developer Jobs in Minnesota (NOW HIRING)

Data Engineer

Rochester, MN · On-site

$116K - $139K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the ... Analyze business objectives and develop data solutions to meet customer needs. Demonstrated ability ...

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... Git/Azure DevOps for version control What Makes You Stand Out * Portfolio of impressive Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... Git/Azure DevOps for version control What Makes You Stand Out * Portfolio of impressive Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... Familiarity with Git/Azure DevOps for version control and CI/CD pipelines * Knowledge of DAX Studio ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... Familiarity with Git/Azure DevOps for version control and CI/CD pipelines * Knowledge of DAX Studio ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... Familiarity with Git/Azure DevOps for version control and CI/CD pipelines * Knowledge of DAX Studio ...

Showing results 41-60

Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.
What are popular job titles related to Data Solutions Developer jobs in Minnesota? For Data Solutions Developer jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Data Solutions Developer job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer

Mayo Clinic

Rochester, MN • On-site

$116K - $139K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 697 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers


Job description

Data Engineer gains access to data across the organization and provides ongoing analysis of the data by monitoring, profiling and analyzing databases. Requires a mix of functional, data and technical skills. The right candidate must be able to understand business requirements, translate them into information needs and implement those requirements using data available. The hire will be responsible for expanding and optimizing data architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems. The Data Engineer will support our software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. 
Core job duties include:
Assemble large, complex data sets that meet functional / non-functional business requirements.
Strong knowledge of SQL required. Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining
Perform complex data analysis and investigation for customer requests to explain results and to make appropriate recommendations.
Strong understanding of data modeling concepts
Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis)
Understand ETL that will aid in verification and testing of data
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Analyze business objectives and develop data solutions to meet customer needs.
Demonstrated ability to effectively participate in multiple, concurrent projects
Improve and customize current data solutions to meet business functional and non-functional requirements.
Research new and existing data sources in order to contribute to new development, improve data management processes, and make recommendations for data quality initiatives.
Perform periodic data quality reviews for internal and external data.
Ensure timely resolution of queries and data issues.
Look for new ways to find and collect data by researching potential new sources of information.
Work with data and analytics experts to strive for greater functionality in our data systems.

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 from an accredited University or College; OR an Associate's degree in Computer Science, Engineering, or related field from an accredited University or College with 2 years of experience. Demonstrated ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling, source system databases, or data mining techniques, is required. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. data analysis, data profiling, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data analysis, quality, and profiling; including data exploration tools including but not limited to Rapid SQL, AQT, Information Analyzer, and Informatics.


What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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