Data Engineer: AI-Driven Analytics for Sustainable Systems

Trane Technologies plc

Pueblo (CO)

On-site

USD 65,000 - 119,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401K match
Tuition assistance
Paid time off

Job summary

Trane Technologies plc is seeking a data analytics professional to develop and automate analytical tools and data workflows across North America. You will join a team expanding capabilities in Analytics, Machine Learning, and AI to support engineering, design, sales, and manufacturing of high-efficiency products.

You will collaborate with subject matter experts, scale models with IT, and lead cross‑functional projects to deliver data products that unlock insights and value for stakeholders.

Qualifications

  • Bachelor’s degree in CS, data science, or engineering.
  • 3+ years in data analytics or data engineering.
  • Experience with automation and analytics tooling.
  • Familiarity with agile methodologies.

Responsibilities

  • Develop and automate analytical tools and data workflows.
  • Collaborate with engineering, design, sales, and manufacturing teams.
  • Scale and deploy models and AI with IT partners.
  • Create analytic capabilities using ML/AI for product development.
  • Lead cross‑functional projects and maintain workflows and visualizations.

Skills

Data analytics
Python
SQL
Machine Learning
Statistics
Tableau
Dataiku
Azure

Education

Bachelor’s degree in Computer Science, Data Science, Engineering

Tools

Dataiku
Tableau
Oracle BI
Rapid Miner
Azure BI
BigQuery

Job description

Trane Technologies plc is seeking a data analytics professional to develop and automate analytical tools and data workflows across North America. You will join a team expanding capabilities in Analytics, Machine Learning, and AI to support engineering, design, sales, and manufacturing of high-efficiency products.

You will collaborate with subject matter experts, scale models with IT, and lead cross‑functional projects to deliver data products that unlock insights and value for stakeholders.

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