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Trane Technologies Machine Learning Data Engineer in New York

Machine Learning Data Engineer

Minneapolis MN 314 W 90th St, Minneapolis, Minnesota, United States

13 additional locations

United States, North Carolina, DavidsonUnited States, Tennessee, ClarksvilleUnited States, Texas, AustinUnited States, Texas, DallasUnited States, Wisconsin, La CrosseNorth Carolina, United StatesUnited StatesNew York, United StatesMinnesota, United StatesMaryland, United StatesHouston, Texas, United StatesUnited States, Georgia, AtlantaChicago, Illinois, United States


Requisition # 2105651

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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.

We are open to someone working anywhere in the US

Do you want to help save the planet? Do you want to directly contribute to an organization committed to reduce its customer carbon footprint by 1 Gigaton of Carbon Dioxide by 2030? As a world leader in creating comfortable, sustainable and efficient environments, it’s our responsibility to put the planet first. For us at Trane Technologies, sustainability is not just how we do business—it is our business. Sustainability is at the center of our strategy and influences how we make every decision.

Trane Technologies Residential HVAC and Supply business offers a broad portfolio of energy efficient heating, ventilation and air conditioning systems, air quality products, home automation and parts support. We ensure our customers are safe and comfortable, while reducing the impact on our shared environment. Our brands include Trane, American Standard, RunTru and Ameristar.

We are seeking an experienced Data Engineer to design, develop, and implement scalable and reliable data products and pipelines for the machine learning program in the Residential line of business. Ability to apply latest techniques and approaches while incorporating long term supportability in cloud platforms is a must. Candidate will be a collaborative problem solver with love of data and who elevates the work of everyone around them. To be successful in this role, you should be a self-starter with broad skills in database design, ETL pipeline development in Python/Spark, Cloud technologies, and optimization of large on complex datasets.


  • Collaborate with management, data scientists, engineering and Residential business teams to enable machine learning models and stakeholders across the business.

  • Assemble and fine tune large and complex data sets for machine learning models and complex analytics programs.

  • Research and explore new data sets within the company that live in operational systems, data lakes/warehouses, or with third parties that could enrich our data and enhance our models.

  • Implement best practice approaches to data pipeline development and machine learning operations.

  • Contribute to multiple projects/demands simultaneously and under minimal direction.

  • Work in an agile/scrum environment with exercising independent judgement in methods and techniques for obtaining and supporting results.


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

  • 3+ years of experience with designing and building scalable and robust data pipelines utilizing Python and SQL; PySpark as a preferred

  • Additional years experience in related analytics, programming, or ETL field.

  • Experience in data cleansing, data validation, data wrangling, and data quality assurance in Big Data datasets.

  • Experience in operationalizing data pipelines and machine learning workflows in a production environment.

  • Proficient in SQL, relational database systems/concepts and dimensional modeling

  • Proven experience with at least one distributed computing or relational data systems such Hadoop, EMR, Redshift, Spark, etc.

  • Hands-on experiences with Cloud environments, preferably AWS Cloud and native services such as Glue, Lambda, S3, Redshift, Spark EMR

  • Knowledge of Git or other version control tools and a commitment to collaboration and code sharing

  • 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.

Benefits*: Trane-Technologies-Benefits-Offered.pdf

Base Pay Range (for Colorado Residents): For Salaried positions - $85,000 – 145,000

Disclaimer: This "range" could be a result of seniority, merit, geographic location where the work is performed, education, experience, travel requirements for the job, or because of a system the employer uses to measure earnings by quantity or quality of production (so, for example, positions that may not have traditional salary ranges).

*Benefits vary by region, business alignment, union involvement and employee status.

This role has been designated as Virtual . Work can be done from anywhere. Shared touch-down workspace available on-site. ​

*The Company reserves the right to modify this designation should business needs require.

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.