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’ chiller business across North America. The role contributes to expanding the organization’s capabilities in analytics, machine learning, and AI, collaborating with engineering and manufacturing subject matter experts to build data products that support development of high-efficiency products worldwide. The position translates design, engineering, product support, and manufacturing requirements into tools; improves analytics workflows through efficiency, automation, documentation, and enhancements; and partners with IT to scale and deploy models, analytical tools, and AI. It develops analytic capabilities using machine learning or AI for engineering-related problems, communicates opportunities to stakeholders and leadership, and leads cross-functional projects to develop and maintain analytical workflows and visualizations. The role also monitors production data feeding models and builds organizational data knowledge and capabilities by advising other functions. The work arrangement is onsite Monday through Thursday, with the option to choose the work location on Fridays based on work needs. The role is based in a typical office environment, with most time spent using computers. Expected travel is approximately 5%.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or an equivalent degree.
- At least 3 years of relevant work experience in a data and analytics role, 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 is approximately 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 analytical workflows and visualizations.
- Coordinate work and changes with Engineering Technology Center and Advanced Concept and Capability partners.
- Apply statistical knowledge and interpret statistical analyses.
- Monitor production data sets to ensure consistency of the data feeding production models.
- Develop organizational data knowledge, documentation, and capabilities by serving as a consultant to other functions.
Benefits
- Health insurance and holistic wellness programs with incentives, available 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
