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Manager Ai Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Our team-including BrainBox AI, Nuvolo, and more-combines technical expertise with advanced ... Manage the migration of data across systems, including relational to NoSQL database migrations and ...

Senior AI Engineer

Minneapolis, MN · On-site

$150 - $200/hr

Mentor junior engineering staff and advise the Managing Director on technical priorities and secure AI governance Qualifications * 7+ years of experience across software engineering, data engineering ...

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

This person will work closely with our customers to manage, transfer, manipulate, or integrate data ... Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub ...

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

This person will work closely with our customers to manage, transfer, manipulate, or integrate data ... Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

The client is looking for a Mid-Level Data Engineer that can hit the ground running with a growing ... Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ...

... AI SOLUTIONS About Us: Working at Target means helping all families discover the joy of everyday ... You'll collaborate closely with engineers, product managers, data scientists, and business partners ...

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

AI/ML Development & Agentic Workflows [15%] * Design, develop, train, and deploy machine learning ... management practices. * Implement monitoring, observability, and freshness for critical data ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Onsite) Job Type: Contract Experience: Mid-to-Senior ... AI Tools: AWS Bedrock, AWS Bedrock Agent Core, Kiro, GitHub Copilot * Build/Deployment: Jenkins, CI ...

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

AI/ML Development & Agentic Workflows [15%] * Design, develop, train, and deploy machine learning ... management practices. * Implement monitoring, observability, and freshness for critical data ...

Data Management Engineer - OpenText

Minneapolis, MN · On-site

$119K - $143K/yr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Work you'll do As a Data Management Engineer III on the AI & Data team, you will be responsible for ...

Showing results 41-60

Manager Ai Data Engineer information

What is the difference between Manager Ai Data Engineer vs Data Scientist?

AspectManager Ai Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering, or related; certifications in cloud platforms or data toolsBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentLeads data engineering teams, manages data pipelines, and collaborates with AI teamsAnalyzes data, builds models, and interprets data insights
Employer & Industry UsageTech companies, finance, healthcare focusing on data infrastructure and AI projectsResearch institutions, tech firms, marketing, and analytics departments

The Manager Ai Data Engineer primarily oversees data engineering teams and infrastructure for AI projects, while Data Scientists focus on analyzing data and building predictive models. Both roles require strong technical skills, but their responsibilities differ in scope and focus within the data ecosystem.

What are the most commonly searched types of Ai Data Engineer jobs in Minnesota?

The most popular types of Ai Data Engineer jobs in Minnesota are:

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For Manager Ai Data Engineer jobs in Minnesota, the most frequently searched job titles are:

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The top searched job categories for Manager Ai Data Engineer jobs in Minnesota are:

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Cities in Minnesota with the most Manager Ai Data Engineer job openings:

$115K - $139K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Trane Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 302 frontline employees who took The Breakroom Quiz

116th of 544 rated manufacturers


Job description

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 TraneandThermo 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.

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.

What you will bring:

  • 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.

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.

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.
  • 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
  • Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
  • Educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary depending on 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.


What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Trane Technologies logo

About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US