Senior Data Engineer

Data Science & Analytics

At Trane Technologies 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.

What's in it for you: Be a part of our mission! 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.

Commercial HVAC Americas, through its industry-leading brand, Trane(R), is a leading thermal management, building technology, and energy services company that creates innovative solutions while helping customers leverage their facilities to achieve their organizational goals. We ensure our customers are safe and comfortable, while reducing the impact on our shared environment.

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.

Thrive at work and at home:

• Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE !
• Family building benefits include fertility coverage and adoption/surrogacy assistance.
• 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
• Paid time off, including in support of volunteer and parental leave needs.
• Educational and training opportunities through company programs along with tuition assistance and student debt support.

Where is the work: This is a Remote position

What you will do:

• 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)

What you will bring:

• 5-7 years of experience with creating data pipelines utilizing Python, PySpark, SQL, or any other programming language in Cloud based environments
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto
• Experience with Cloud environments, preferably GCP and AWS
• Strong communication skills, with the ability to work in a team and collaborate with other data professionals and business stakeholders
• Demonstrated record of thought leadership and solution design that spans from high-level conceptual frameworks to detailed execution plans

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

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.

Compensation: Base Pay Range: $146,000 - $185,000 Total compensation for this role will include an incentive plan. Disclaimer: This base pay range is based on US national averages. Actual base pay could be a result of seniority, merit, and geographic location where the work is performed. Equal Employment Opportunity: We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.