At Trane TechnologiesTM and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We’re a team that dares to look at the world’s challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

JOB SUMMARY:

The CHVAC Revenue Operations & Analytics team’s mission is to drive revenue growth by interconnecting workflows, building scalable data solutions, and optimizing the revenue tech stack while empowering sales teams with tools, processes, and AI-driven insights.
We are seeking a Senior Data Engineer to actively design, build, improve and manage the critical data the CHVAC Revenue Operations & Analytics team needs to support the business. Partnering with the Enterprise and CHVAC IT teams, this role will deliver, build and support data products for CHVAC Sales teams to enable revenue growth. The Senior Data Engineer will partner with the data architects, stakeholders and cross functional teams to build data pipelines and datasets into Trane’s Data Cloud – a Google Cloud Platform.

PREFERRED QUALIFICATIONS:

• Knowledge of DevSecOps process, Git or other version control tools & CI/CD process
• Familiarity with Self Service Tools such as Dataiku and Tableau
• Agile experience
• Experience with ERP Systems

• Design, lead and develop data pipelines and transformations to extract, load and transform (ELT) data from source systems into data platforms for further processing and analysis
• Develop robust data solutions and streamline diverse datasets into simplified models to promote self-service
• Take responsibility for data mapping, business logic, transformations, and data quality
• Engage in architectural discussions, influence the product roadmap, and take ownership of new projects
• Support and maintain existing platforms while transitioning to newer technology stacks and architectures
• Work closely with data engineers and data architects using Agile methodology, take ownership of the delegated tasks and deliver the results in a timely manner
• Support data scientists and data analysts in assessing, analyzing, and visualizing data, ensuring that data is accurate, reliable, and traceable
• Follow enterprise guidelines and best practices to ensure a consistent approach across the organization
• Stay up to date with emerging technologies and trends in the data engineering and cloud space and willingness to learn and use new tools and platforms that can improve efficiency
• 10% travel (meetings/trainings)