Benefits that start on day one and a work style designed for strong collaboration: this onsite role supports Trane’s chiller business by scaling advanced analytics and AI capabilities through cross-functional teamwork with engineering, product management, and IT. You’ll lead a small team, build foundational capabilities on enterprise platforms, and help drive real value through analytics workflows, monitoring, and automation.

Location: La Crosse, WI (onsite)

Compensation: Salary, USD 75,700 - 135,834 per year

Responsibilities

Use critical thinking to translate design, engineering, product support, and manufacturing requirements into tools that support advanced analytics and AI.
Improve engineering analytics capabilities through workflow efficiency, automation, documentation, and ongoing enhancements.
Partner with Engineering Technology Center and Advanced Concepts and Capability partners to coordinate work and manage changes.
Engage stakeholders using an agile process, prioritizing development based on strategic capability and business value.
Lead cross-functional projects to develop and maintain analytic workflows and visualizations.
Explore new data sources and approaches to improve existing solutions and create new opportunities.
Implement data monitoring in production to help ensure consistency of data feeding models.
Serve as a consultant to other functions to build data knowledge and organizational capabilities.
Develop advanced data science workflows that support predictive and prescriptive analytics.
Leverage enterprise LLM/AI platforms to create solutions that work at scale.
Understand and build agentic workflows to improve automation of processes.
Build a culture focused on knowledge sharing, collaboration, and documentation.

Requirements

Bachelor’s Degree in computer science, data science, engineering, or an equivalent technical degree.
Master’s 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 agile methodology and 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 is preferred.
Ability to travel, expected travel time ~ 5%.

Technologies

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 to support volunteer and parental leave.
401K match
Educational and training opportunities through company programs, including tuition assistance and student debt support.

Work Schedule

Monday to Thursday: work onsite with your colleagues.
Friday: choose your work location, balancing what the role requires.

Physical Effort

Typical office environment, spending most of the time using computers.

Senior Data Engineer