Senior Data Engineer

Trane Italia • La Crosse, WI

1d • $75,700 - $135,835 • Hybrid

About The Position

The Senior Data Engineer will accelerate the growth and proficiency of advanced analytics and AI capabilities supporting engineering productivity and customer value within the chiller business. These capabilities enable teams worldwide to develop high-efficiency products, generate organizational insight, and enhance sales capabilities. The role partners with engineering, product management, and IT to translate engineering and customer needs into software features and tools, and leads a small team in scaling analytics and AI services through enterprise-platform integration and optimization.

Requirements

• Bachelor’s degree in computer science, data science, engineering, or an equivalent technical field.
• At least 5 years of relevant work experience in software development or advanced analytics.
• At least 2 years of people leadership in a project setting or small team.
• Leadership experience 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.
• Ability to travel; expected travel is approximately 5%.

Nice To Haves

• Master’s degree in statistics, computer science, or engineering.
• Proficiency with enterprise data and analytics platforms such as Azure AI Foundry or Vertex AI.

Responsibilities

• Translate design, engineering, product support, and manufacturing requirements into supporting tools.
• Improve engineering analytics capabilities through workflow efficiency, automation, documentation, and enhancements.
• Coordinate work and changes with Engineering Technology Center and Advanced Concepts and Capability partners.
• Engage stakeholders through agile processes and prioritize development based on strategic capability and business value.
• Lead cross-functional projects to develop and maintain analytic workflows and visualizations.
• Explore new data to enhance existing solutions and identify new opportunities.
• Implement production data monitoring to ensure consistency of data feeding models.
• Build organizational data knowledge and capabilities by consulting with other functions.
• Develop advanced data science workflows that deliver predictive and prescriptive analytics.
• Use enterprise LLM/AI platforms to create scalable solutions.
• Build agentic workflows to improve process automation.
• Promote knowledge sharing, collaboration, and documentation.

Benefits

• Health insurance and holistic wellness programs with incentives, effective from day one for the employee and family.
• Fertility coverage and adoption/surrogacy assistance.
• Up to 15 vacation days, paid holidays, sick leave, and additional options supporting volunteer and parental leave.
• 401(k) match.
• Educational and training opportunities through company programs.
• Tuition assistance and student debt support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior