Data Engineer
About The Position
As a key member of the team, the Data Engineer develops and automates analytical tools and data workflows that support engineering, design, sales, and manufacturing in Trane Technologies’ North American chiller business. The role contributes to an expanding Analytics, Machine Learning, and AI capability, collaborating with engineering and manufacturing subject matter experts to build data products that enable development of high-efficiency products worldwide. The position translates business and technical requirements into supporting tools, improves analytics workflows through automation and documentation, and partners with IT to scale and deploy models, analytical tools, and AI. It also develops analytic capabilities using machine learning or AI, leads cross-functional projects, monitors production data feeding models, and helps other functions build data knowledge and capabilities. The work arrangement is onsite Monday through Thursday, with flexibility to choose the work location on Fridays based on work needs. Expected travel is 5%.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or an equivalent degree.
- At least 3 years of relevant work experience in data and analytics, preferably in data engineering or data analytics.
- Experience solving problems through automation.
- Experience with agile methodology and concepts.
- Experience with analytics tools such as Dataiku, Tableau, Oracle Business Intelligence, Rapid Miner, Azure BI, Google Cloud Products (Big Query), or other analytics tools.
- Basic knowledge of statistics and ability to interpret statistical analysis.
- Ability to travel; expected travel time is 5%.
Nice To Haves
- Experience with AI tools such as Azure AI Foundry or Vertex AI.
- Knowledge of Product Definition and Configuration concepts.
Responsibilities
- Translate design, engineering, product support, and manufacturing requirements into supporting tools.
- Improve engineering analytics capabilities through workflow efficiency, automation, documentation, and enhancements.
- Partner with IT teams to scale and deploy models, analytical tools, and AI.
- Develop and deploy analytic capabilities using machine learning or AI to solve engineering-related problems involving Product Development, Product Design, or external customers.
- Communicate the value of analytics opportunities to leadership and stakeholders.
- Lead cross-functional projects to develop and maintain analytic workflows and visualizations.
- Coordinate work and changes with Engineering Technology Center and Advanced Concept and Capability partners.
- Monitor production data sets to ensure consistency of data feeding production models.
- Build organizational data knowledge, documentation, and capabilities by consulting with other functions.
Benefits
- Health insurance and holistic wellness programs, including incentives, beginning on 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 to support volunteer and parental leave.
- 401(k) match.
- Educational and training opportunities through company programs.
- Tuition assistance and student debt support.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
