Data Engineer Visa Sponsorship Jobs in Minnesota
Data engineer visa sponsorship jobs in Minnesota are concentrated in the Twin Cities metro, where employers like UnitedHealth Group, Target, Best Buy, and Mayo Clinic run large data engineering teams. Minneapolis and St. Paul anchor most hiring, with Rochester emerging around health tech. Minnesota's strong finance, retail, and healthcare sectors drive consistent demand for sponsored data engineers.
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Get Access To All JobsINTRODUCTION
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
WHERE IS THE WORK:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team—including BrainBox AI, Nuvolo, and more—combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.
ROLE AND RESPONSIBILITIES
Trane Technologies is seeking an experienced Data Engineer who will be responsible for managing and optimizing our database systems, with a special emphasis on NoSQL databases, cloud-native architectures, and high-volume data processing. The role involves designing scalable, distributed data solutions, writing Python scripts to migrate/build data across different applications and systems, and working with both SQL and NoSQL technologies in cloud-native environments. The position works closely with product, design, and development teams to review requirements, evaluate data models, and build database structures optimized for scale and performance. This includes designing, implementing, and maintaining architectures and cloud-native data platforms to ensure high performance, availability, and security while processing terabytes to petabytes of data.
What you will do:
- Design, implement, and maintain both SQL and NoSQL database systems to ensure high performance, availability, and security.
- Architect and deploy cloud-native database solutions using serverless technologies.
- Conduct data analysis to support business decisions and optimize NoSQL data models and query patterns.
- Develop, implement, and optimize SQL queries and NoSQL data access patterns for various database engines.
- Design and implement real-time and batch data processing pipelines for high-volume data streams.
- Analyze, evaluate data and design schema-less and flexible data models suited for NoSQL databases.
- Build dashboards through reporting tools that integrate data from multiple NoSQL and SQL sources.
- Manage the migration of data across systems, including relational to NoSQL database migrations and cloud migrations.
- Utilize cloud services for NoSQL database management, operations, and scaling (AWS DynamoDB, BigQuery, Bigtable, etc.).
- Design and implement data partitioning, sharding, and replication strategies for high-volume NoSQL databases.
- Monitor and optimize database performance, including NoSQL index tuning, query optimization, and capacity planning for high-throughput systems.
- Implement data lake and data mesh architectures for scalable data storage and analytics.
- Design streaming data architectures for real-time analytics and event-driven systems.
- Collaborate with development teams to ensure data consistency, integrity, and correctness across polyglot persistence layers.
- Ensure database security and compliance with relevant regulations across SQL and NoSQL platforms.
- Provide support for data-related issues and troubleshoot complex distributed NoSQL database issues as needed.
- Implement CI/CD pipelines for database schema migrations and data pipeline deployments.
- HVAC domain knowledge is an additional advantage, providing insights for domain-specific requirements and optimizations.
BASIC QUALIFICATIONS
- Bachelor of Science degree in Computer Science, Computer Engineering, or equivalent required.
- 6+ years of experience in Database Engineer, Data Engineer, or similar role with strong NoSQL expertise.
- Deep hands-on experience with NoSQL databases (DynamoDB, BigQuery, BigTable, or similar).
- Strong understanding of CAP theorem, eventual consistency, and distributed system concepts.
- Experience designing denormalized data models and optimizing for read/write patterns in NoSQL databases.
- Hands-on experience with big data and in cloud-native technologies.
- Experience in writing Python scripts for data migration, governance, validation.
- Experience in maintaining high-performance SQL and NoSQL databases at scale.
- Good understanding of AWS and GCP systems, particularly managed NoSQL services and cloud-native data platforms.
- Experience in migrating data from different systems, including legacy relational databases to NoSQL platforms and on-prem to cloud migrations.
- Knowledge of data lake architectures and modern data stack tools.
- Experience with data governance, data quality frameworks, and metadata management.
- Understanding of MLOps and data engineering best practices for machine learning pipelines.
- Excellent analytical and problem-solving skills.
- Strong communication skills, ability to document complex data architectures and patterns.
PREFERRED QUALIFICATIONS
Relevant certifications are highly desirable:
- AWS Certified Data Analytics Specialty or AWS Certified Database Specialty.
- Google Cloud Professional Data Engineer.
- DataBricks Certified Data Engineer.
- Or similar.
COMPENSATION
- Annual Base Salary Range or Hourly Base Pay Range: $91,516.66 - $128,379.99
- Compensation Type: Salary
- Incentive Eligible: No
- Sales Commission Eligible: No
Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
THRIVE AT WORK AND AT HOME:
- Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!
- Family building benefits include fertility coverage and adoption/surrogacy assistance.
- Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave.
- 401K match up, educational and training opportunities through company programs along with tuition assistance and student debt support.
Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations.
SAFETY SENSITIVE ROLE:
No
The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
INTRODUCTION
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
WHERE IS THE WORK:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team—including BrainBox AI, Nuvolo, and more—combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.
ROLE AND RESPONSIBILITIES
Trane Technologies is seeking an experienced Data Engineer who will be responsible for managing and optimizing our database systems, with a special emphasis on NoSQL databases, cloud-native architectures, and high-volume data processing. The role involves designing scalable, distributed data solutions, writing Python scripts to migrate/build data across different applications and systems, and working with both SQL and NoSQL technologies in cloud-native environments. The position works closely with product, design, and development teams to review requirements, evaluate data models, and build database structures optimized for scale and performance. This includes designing, implementing, and maintaining architectures and cloud-native data platforms to ensure high performance, availability, and security while processing terabytes to petabytes of data.
What you will do:
- Design, implement, and maintain both SQL and NoSQL database systems to ensure high performance, availability, and security.
- Architect and deploy cloud-native database solutions using serverless technologies.
- Conduct data analysis to support business decisions and optimize NoSQL data models and query patterns.
- Develop, implement, and optimize SQL queries and NoSQL data access patterns for various database engines.
- Design and implement real-time and batch data processing pipelines for high-volume data streams.
- Analyze, evaluate data and design schema-less and flexible data models suited for NoSQL databases.
- Build dashboards through reporting tools that integrate data from multiple NoSQL and SQL sources.
- Manage the migration of data across systems, including relational to NoSQL database migrations and cloud migrations.
- Utilize cloud services for NoSQL database management, operations, and scaling (AWS DynamoDB, BigQuery, Bigtable, etc.).
- Design and implement data partitioning, sharding, and replication strategies for high-volume NoSQL databases.
- Monitor and optimize database performance, including NoSQL index tuning, query optimization, and capacity planning for high-throughput systems.
- Implement data lake and data mesh architectures for scalable data storage and analytics.
- Design streaming data architectures for real-time analytics and event-driven systems.
- Collaborate with development teams to ensure data consistency, integrity, and correctness across polyglot persistence layers.
- Ensure database security and compliance with relevant regulations across SQL and NoSQL platforms.
- Provide support for data-related issues and troubleshoot complex distributed NoSQL database issues as needed.
- Implement CI/CD pipelines for database schema migrations and data pipeline deployments.
- HVAC domain knowledge is an additional advantage, providing insights for domain-specific requirements and optimizations.
BASIC QUALIFICATIONS
- Bachelor of Science degree in Computer Science, Computer Engineering, or equivalent required.
- 6+ years of experience in Database Engineer, Data Engineer, or similar role with strong NoSQL expertise.
- Deep hands-on experience with NoSQL databases (DynamoDB, BigQuery, BigTable, or similar).
- Strong understanding of CAP theorem, eventual consistency, and distributed system concepts.
- Experience designing denormalized data models and optimizing for read/write patterns in NoSQL databases.
- Hands-on experience with big data and in cloud-native technologies.
- Experience in writing Python scripts for data migration, governance, validation.
- Experience in maintaining high-performance SQL and NoSQL databases at scale.
- Good understanding of AWS and GCP systems, particularly managed NoSQL services and cloud-native data platforms.
- Experience in migrating data from different systems, including legacy relational databases to NoSQL platforms and on-prem to cloud migrations.
- Knowledge of data lake architectures and modern data stack tools.
- Experience with data governance, data quality frameworks, and metadata management.
- Understanding of MLOps and data engineering best practices for machine learning pipelines.
- Excellent analytical and problem-solving skills.
- Strong communication skills, ability to document complex data architectures and patterns.
PREFERRED QUALIFICATIONS
Relevant certifications are highly desirable:
- AWS Certified Data Analytics Specialty or AWS Certified Database Specialty.
- Google Cloud Professional Data Engineer.
- DataBricks Certified Data Engineer.
- Or similar.
COMPENSATION
- Annual Base Salary Range or Hourly Base Pay Range: $91,516.66 - $128,379.99
- Compensation Type: Salary
- Incentive Eligible: No
- Sales Commission Eligible: No
Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
THRIVE AT WORK AND AT HOME:
- Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!
- Family building benefits include fertility coverage and adoption/surrogacy assistance.
- Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave.
- 401K match up, educational and training opportunities through company programs along with tuition assistance and student debt support.
Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations.
SAFETY SENSITIVE ROLE:
No
The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
Data Engineer Job Roles in Minnesota
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Search Data Engineer Jobs in MinnesotaData Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data engineers in Minnesota?
UnitedHealth Group, Target, Best Buy, and Mayo Clinic are among the most active sponsors for data engineer roles in Minnesota, based on H-1B visa Labor Condition Application filings. Financial firms like U.S. Bank and Ameriprise Financial also file regularly. Sponsorship activity is concentrated in the Twin Cities, with Rochester-area employers hiring primarily for health informatics and clinical data engineering roles.
Which visa types are most common for data engineer roles in Minnesota?
The H-1B is the most common visa for data engineers in Minnesota, as the role typically requires a bachelor's degree or higher in computer science, information systems, or a related field, meeting the specialty occupation standard. Candidates already on F-1 OPT or STEM OPT extensions are frequently hired before employers initiate H-1B sponsorship. TN visas are available for Canadian and Mexican nationals in qualifying engineering classifications.
Which cities in Minnesota have the most data engineer sponsorship jobs?
Minneapolis and St. Paul together account for the overwhelming majority of data engineer sponsorship jobs in Minnesota. The Minneapolis metro hosts corporate headquarters for Target, Best Buy, U.S. Bank, and several major healthcare and insurance firms. Rochester is a secondary hub driven by Mayo Clinic's data and analytics operations. Outside these areas, sponsorship opportunities are significantly more limited.
How to find data engineer visa sponsorship jobs in Minnesota?
Migrate Mate is built specifically for international candidates and filters data engineer jobs in Minnesota by visa sponsorship eligibility, saving you from sorting through postings that don't lead anywhere. You can browse active roles from employers with documented H-1B filing histories in the state. Focusing your search on the Twin Cities metro and filtering by healthcare, retail, and financial services will surface the most relevant opportunities.
What should data engineers know about Minnesota's hiring market before applying for sponsored roles?
Minnesota's data engineering market is anchored by healthcare IT, retail analytics, and financial services, so experience with large-scale transactional data, cloud platforms like AWS or Azure, and tools like Spark or dbt is frequently expected. Prevailing wage requirements under the H-1B program are determined by the Minneapolis-St. Paul metropolitan area wage level, which reflects a high-cost, competitive tech market. University of Minnesota graduates also feed the local pipeline, so competition can be strong.
What is the prevailing wage for sponsored data engineer jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.