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Data Engineer
Trane Technologies. Develop and automate analytical tools and data workflows supporting engineering, design, sales, and manufacturing in the chiller business .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and automating analytical tools and data workflows, leveraging machine learning and AI to enhance engineering analytics. Proven ability to collaborate with cross-functional teams and communicate analytics value to stakeholders.
Highest-signal resume keywords
Data EngineeringMachine LearningAgile MethodologyDataikuTableau
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsAutomationData Workflow DevelopmentAnalytical Tool DevelopmentProblem Solving
Soft Skills
CollaborationCommunicationConsulting
Tools & Technologies
Oracle Business IntelligenceRapid MinerAzure BIGoogle Cloud ProductsAzure AI FoundryVertex AI
Industry Keywords
Chiller BusinessEngineering AnalyticsProduct DefinitionConfiguration Concepts
Tech Stack
Tools & technologiesAzureBigQueryCloudOracleTableau
About the role
Key responsibilities & impact- Develop and automate analytical tools and data workflows supporting engineering, design, sales, and manufacturing in the chiller business
- Collaborate with engineering and manufacturing subject matter experts to build data products
- Translate design, engineering, product support, and manufacturing requirements into supporting tools
- Improve engineering analytics through workflow efficiency, automation, documentation, and enhancements
- Partner with IT teams to scale and deploy models, analytical tools, and AI
- Develop and deploy analytic capabilities using machine learning or AI
- Communicate analytics opportunities and value to leadership and stakeholders
- Lead cross-functional projects to develop and maintain analytic workflows and visualizations
- Coordinate work and changes with Engineering Technology Center and Advanced Concept and Capability partners
- Monitor production data sets for consistency in data feeding production models
- Serve as a consultant to other functions to develop organizational data knowledge, documentation, and capabilities
Requirements
What you’ll need- Bachelor’s Degree in Computer Science, Data Science, Engineering, or equivalent degree
- 3+ years of relevant work experience in a data and analytics role, preferably data engineering or data analytics
- Experience solving problems through automation
- Experience with agile methodology and concepts
- Experience with Dataiku, Tableau, Oracle Business Intelligence, Rapid Miner, Azure BI, Google Cloud Products (BigQuery), or other analytics tools
- Experience with AI tools such as Azure AI Foundry or Vertex AI preferred
- Knowledge of Product Definition and Configuration concepts preferred
- Ability to travel; expected travel time approximately 5%
Benefits
Comp & perks- Health insurance for employees and family
- Holistic wellness programs with generous incentives
- Fertility coverage
- Adoption/surrogacy assistance
- Up to 15 vacation days
- Paid holidays
- Sick leave
- Volunteer leave
- Parental leave
- 401K match
- Educational and training opportunities through company programs
- Tuition assistance
- Student debt support