Senior Data Engineer

Trane Technologies is scaling advanced analytics and AI for its chiller business, and you will help build the enterprise foundations that turn data into measurable value. In this onsite role in La Crosse, WI, you will partner across Engineering, Product Management, and IT to scale capabilities, improve production reliability, and lead a small team focused on foundational platform work.

Compensation: $75,700 - $135,834 per year (salary). Schedule: Monday to Thursday onsite, with Fridays offering flexibility to choose your work location based on what your work requires.

What you’ll be doing

• Translate design, engineering, product support, and manufacturing requirements into tools and supporting analytics.
• Continuously improve engineering analytics through workflow efficiency, automation, documentation, and ongoing enhancements.
• Coordinate changes with partners including the Engineering Technology Center and Advanced Concepts and Capability teams.
• Engage stakeholders using an agile approach, prioritizing development based on strategic capability and business value.
• Lead cross-functional work to develop and maintain analytic workflows and visualizations.
• Explore new data sources to improve existing solutions and identify new opportunities.
• Implement production monitoring to help ensure consistency of data feeding models.
• Serve as a consultant across the organization to build data knowledge and capabilities in other functions.
• Develop advanced data science workflows delivering predictive and prescriptive analytics.
• Leverage enterprise LLM/AI platforms to create solutions that solve problems at scale.
• Understand and build agentic workflows to improve process automation.
• Promote a culture of knowledge sharing, collaboration, and documentation.

What you bring

• Bachelor’s Degree in computer science, data science, engineering, or an equivalent technical degree.
• 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 the 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 related machine learning techniques.
• Preference for experience with enterprise D&A platforms such as Azure AI Foundry or Vertex AI.
• Ability to travel, with expected travel time of about 5%.

Tools you’ll use

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

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 including fertility coverage and adoption/surrogacy assistance.
• Paid time off including 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.

Work environment: Typical office setting, spending most of the time using computers. Safety sensitive role: No.