Senior Data Engineer

Trane Technologies is hiring a Senior Data Engineer to accelerate advanced analytics and AI for engineering productivity and customer value in the chiller business.

Responsibilities

• Apply critical thinking to convert design, engineering, product support, and manufacturing requirements into supporting tools
• Improve engineering analytics capabilities via workflow efficiency, automation, documentation, and enhancements
• Coordinate delivery with Engineering Technology Center and Advanced Concepts and Capability partners
• Engage stakeholders using an agile approach; prioritize work based on strategic capability and business value
• Lead cross-functional efforts to build and maintain analytic workflows and visualizations
• Explore new data sources to enhance existing solutions and identify new opportunities
• Implement production data monitoring to support consistent feeding of data models
• Act as a consultant to broaden organizational data knowledge and capabilities across functions
• Develop advanced data science workflows delivering predictive and prescriptive analytics
• Leverage enterprise LLM/AI platforms to build solutions that solve problems at scale
• Understand and build agentic workflows to improve process automation
• Support a culture of knowledge sharing, collaboration, and documentation

Requirements

• Bachelor’s Degree in computer science, data science, engineering, or equivalent technical degree
• Master’s in statistics, computer science, or engineering preferred
• 5+ years of relevant experience in software development or advanced analytics
• 2+ years of people leadership in a project setting or small team
• Leadership experience with agile methodology and related concepts
• Proficiency with data engineering tools such as Dataiku, Tableau, Oracle Business Intelligence, Informatica, Rapid Miner, Azure BI, or Google Cloud Products
• Experience building APIs or endpoints to deploy solutions
• Knowledge of advanced data science concepts including predictive and prescriptive analytics and associated machine learning techniques
• Proficiency with enterprise D&A platforms such as Azure AI Foundry or Vertex AI preferred
• Ability to travel (expected travel time ~ 5%)

Tools and Technologies

• Dataiku
• Tableau
• Oracle Business Intelligence
• Informatica
• Rapid Miner
• Azure BI
• Google Cloud Products
• Azure AI Foundry
• Vertex AI

Benefits

• Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs with generous incentives
• Family building benefits: fertility coverage and adoption/surrogacy assistance
• Paid time off includes up to 15 vacation days, paid holidays, sick leave, plus additional options supporting volunteer and parental leave
• 401K match
• Educational and training opportunities through company programs, including tuition assistance and student debt support

Where the Work Is Located

• La Crosse, WI (hybrid)
• Monday to Thursday: work onsite with colleagues
• Fridays: choose your work location, aligned with what the role requires

Physical Effort

• Typical office environment; most time spent using computers
• Accommodations will be evaluated where needed

Compensation

• Annual base salary range: USD 75,700 - 135,834
• Compensation type: Salary