Data Engineer
Trane Technologies

Davidson, North Carolina

Posted in Engineering
4 days ago

Job Info

At Trane Technologies® we Challenge Possible. Our brands - including Trane® and Thermo King® - create access to cooling and comfort in buildings and homes, transport and protect food and perishables, connect customers to elevated performance with less environmental impact, dramatically reduce energy demands and carbon emissions, and innovate with a better world in mind. We boldly challenge what's possible for a sustainable world.

This role may be filled 100% remote.

Job Summary:

We are seeking a data engineer to actively improve and manage the critical data the Residential team needs to run the business. Partnering with the Enterprise IT team, this role will deliver data sets for Residential Equipment/Supply to enable self-service analytics. They will partner with the architect to prioritize data to bring into the share workspace, and structure the data set for consumption by analysts. They will also work with and offer 2nd tier support to the data analyst who provides user support to the business. The resulting data will consumed through Alteryx workflows, Python jobs, Tableau workbooks, and more.


  • Develop a strong understanding of the Residential/Supply business and proactively advise enterprise IT and the business on the data.

  • Understand source systems, and Residential/Supply specific attributes required by the business for meaningful analysis

  • Learn the tables currently in the Shared Workspace for the Residential/Supply business and be able to explain structure and origins to other technical users.

  • Evaluate, parse, clean and fix data sets according to business requirements.

  • Recommend technical approach to data pipeline development and understand the correct schemas to future-proof data pipelines.

  • Follow enterprise guidelines and best practices to ensure consistent approach across the organization.

  • Join data sets as needed to create new data assets.

  • Collaborate with architect to identify ad-hoc tables need to be promoted to standard work in Res or Enterprise

  • Research and identify new data sources required by the business.

  • Provide direction to consultants to augment capacity for data engineering work as required.


  • BS/BA degree in computer science, MIS, analytics, engineering or similar

  • 5 years of experience with creating data pipelines utilizing Python, PySpark and SQL

  • Knowledge of distributed computing or relational data systems such as Oracle or similar

  • Familiar with Cloud environments, preferably AWS

  • Familiarity with Alteryx and Tableau preferred

  • Knowledge of ETL design for efficient data movement

  • Experience in operationalizing data pipelines in a production environment.

  • Strong communication skills -able to convey complex concepts to technical and business teams in a simple and understandable way.

  • Agile experience a plus.

Key Competencies:

  • Technical Excellence-comfortable around very large data sets and utilizing the appropriate tools for each task.

  • Cross Functional Collaboration - within analytics teams, the business and other IT teams

  • Innate Curiosity - constant drive to learn more, ask questions, seek better outcomes through better use of data.

  • Problem Solver - a self-starter, enjoys digging into problems, and finding creative solutions.

  • Love for data - enjoy digging into big data sets, understanding the details of the data, and willing and able to share with other technical users.

We offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives. We are proud of our winning culture which is inclusive and respectful at its core. We share passion for serving customers, caring for others, and boldly challenging what's possible for a sustainable world.

We are committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

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