Data Manager Visa Sponsorship Jobs in Minnesota
Minnesota's data manager job market spans healthcare IT in the Twin Cities, financial services firms like U.S. Bank and Ameriprise, and a growing enterprise tech sector anchored by companies such as Best Buy and 3M. Employers across Minneapolis, St. Paul, and Rochester actively hire data managers and have established visa sponsorship programs for qualified international candidates.
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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 Manager Job Roles in Minnesota
See all 132+ Data Manager Jobs in Minnesota
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Search Data Manager Jobs in MinnesotaData Manager Jobs in Minnesota: Frequently Asked Questions
Which companies in Minnesota sponsor visas for data managers?
Major Minnesota employers with documented H-1B visa sponsorship histories in data and information management roles include U.S. Bank, Ameriprise Financial, UnitedHealth Group, Mayo Clinic, 3M, and Best Buy. Healthcare and financial services firms tend to be the most active sponsors in this state, given their large enterprise data operations and ongoing demand for skilled data professionals.
Which visa types are most common for data manager roles in Minnesota?
The H-1B visa is the most common sponsorship pathway for data managers in Minnesota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates from Australia may qualify for the E-3 visa, and those from Canada or Mexico may be eligible under the TN visa category, which can offer a more straightforward process.
Which cities in Minnesota have the most data manager sponsorship jobs?
The Minneapolis-St. Paul metropolitan area concentrates the majority of data manager sponsorship opportunities in Minnesota, driven by its headquarters density across healthcare, finance, and retail tech. Rochester is a secondary hub due to Mayo Clinic's significant data and health informatics operations. Smaller markets like Bloomington and Eden Prairie also host enterprise employers with active data management hiring needs.
How to find data manager visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify data manager roles in Minnesota where employers are open to sponsoring international candidates. You can search by role and state to surface positions at healthcare systems, financial institutions, and technology companies across the Twin Cities and Rochester without sorting through listings that don't offer sponsorship.
Are there state-specific factors that affect visa sponsorship for data managers in Minnesota?
Minnesota's concentration of large regulated industries, including healthcare and financial services, means employers are generally experienced with H-1B sponsorship processes and prevailing wage compliance. The University of Minnesota and other state institutions also create a pipeline of international graduates who enter the sponsorship market locally, which means employers in the Twin Cities area are relatively familiar with hiring international candidates into data-focused roles.
What is the prevailing wage for sponsored data manager 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.