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Senior Data Engineer

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Onsite

Senior Data Engineer

Trane Technologies

Senior Data Engineer

Skills

Google Cloud PlatformData EngineeringTableauProduct ManagementData ScienceData AnalysisMachine LearningAIWorkdayOracleDataikuAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

La Crosse, WI, USA

Work mode:

Onsite

Published on:

24 September 2026

What they need


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.

JOB DESCRIPTION:

This person is responsible for accelerating our growth and proficiency in advanced analytics and AI capabilities to enable engineering productivity and customer value within our chiller business. The capabilities and outcomes of our solutions enable teams to develop new high-efficiency products worldwide, drive organizational insight, and enhance our sales capabilities. Success in this role requires partnering directly with our engineering, product management, and IT teams, to translate engineering and customer needs into software features and tools. This person will lead a small team in scaling advanced analytics and AI services through foundational work on our enterprise platforms to integrate solutions and optimize value.

· Apply critical thinking to translate design, engineering, product support, and manufacturing requirements into supporting tools.

· Continuously improve engineering analytics capabilities through improved workflow efficiency, automation, documentation, and enhancements.

· Collaborate with Engineering Technology Center and Advanced Concepts and Capability partners to coordinate work and changes.

· Drive stakeholder engagement through agile process and prioritize development based on strategic capability and business value.

· Lead projects with cross functional teams to develop and maintain analytic workflows and visualizations.

· Leads exploration of new data to enhance existing solutions and create new opportunities.

· Implements data monitoring in production to ensure consistency of data feeding models.

· Develop data knowledge and capabilities of the organization by serving as a consultant to other functions.

· Ability to understand and develop advanced data science workflows delivering predictive and prescriptive analytics.

· Ability to leverage enterprise LLM/AI platforms to create solutions that solve problems at scale.

· Understands and can build agentic workflows to improve automation of process.

· Drives a culture of commitment to knowledge sharing, collaboration, and documentation.

PHYSICAL EFFORT:

· Typical office environment spending most of their time using computers. Accommodations will be evaluated where needed.

ADDITIONAL REQUIREMENTS:

· Bachelor’s Degree in computer science, data science, engineering, or equivalent technical degree. Masters in statistics, computer science, or engineering preferred.

· 5+ years of relevant work experience in software development or advanced analytics.

· 2+ years of people leadership in a project setting or small team.

· Leadership with the agile methodology and concepts required.

· Proficient with data engineering tools such as Dataiku, Tableau, Oracle Business Intelligence, Informatica, Rapid Miner, Azure BI, or Google Cloud Products.

· Experience with building APIs or endpoints to deploy solutions.

· Knowledge of advanced data science concepts such as predictive and prescriptive analytics and associated machine learning techniques

· Proficiency with enterprise D&A platforms such as Azure AI Foundry or Vertex AI is preferred

· Ability to travel. Expected travel time ~ 5%

Annual Base Salary Range or Hourly Base Pay Range:

$75 700,00 - $135 834,99

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.

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