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Senior Data Engineer & Scientist

Trane Technologies
Davidson, USA
Full-time
Senior · 2–5 years experience
Onsite
Discovered 4 days ago
gcpterraform

Full Job Posting

What you will do

  • Discover engineering data and knowledge sources across distributed systems and repositories.
  • Build data-ingestion, and integration pipelines.
  • Connect structured and unstructured engineering data.
  • Implement metadata, cataloging, lineage, and discoverability capabilities.
  • Establish data quality, validation, and observability practices.
  • Implement GCP or comparable cloud data platform services.
  • Design interfaces for downstream AI systems and applications.
  • Prepare data and knowledge for retrieval and agent use.
  • Support graphs, entities, and relationship modeling.
  • Build reusable headless data services.
  • Use GitHub workflows, CI/CD, Terraform, and automated testing.
  • Prepare requirements, specifications, constitutions, contracts, context, and AI harnesses.
  • Implement security, access control, privacy, and governance controls.
  • Deploy and support production data services.
  • Use Terraform for infrastructure provisioning and repeatable environment management.

Required qualifications

  • Bachelor’s degree in data engineering, computer science, engineering, or related field. Master’s degree preferred.
  • Two to five years of relevant experience is acceptable.
  • Experience discovering and integrating distributed data sources.
  • Experience with structured and unstructured engineering data.
  • Experience with metadata, cataloging, lineage, and discoverability.
  • Experience with data quality, validation, and observability.
  • GCP or comparable cloud data-platform experience.
  • Experience preparing data and knowledge for retrieval and agent use.
  • Experience with graph, entity, and relationship modeling.
  • Experience building reusable headless data services.
  • Experience with GitHub workflows, CI/CD, and automated testing.
  • Experience with requirements, specifications, constitutions, contracts, and AI harnesses.
  • Experience with security, access control, privacy, and governance.
  • Production deployment and operational-support experience.
  • What success looks like
  • You discover and connect priority engineering data and knowledge sources.
  • You deliver reliable ingestion, integration, transformation, and validation pipelines.
  • You improve metadata, lineage, discoverability, and operational observability.
  • You prepare data and knowledge for retrieval, agent use, and downstream applications.
  • You establish repeatable Terraform, GitHub, testing, and deployment practices.
  • Your work delivers measurable value for multiple engineering use cases.
  • Annual Base Salary Range or Hourly Base Pay Range:
  • $90,900.00 - $189,800.00
  • Salary
  • Yes
  • No

Preferred Qualifications

  • Bachelor’s degree in data engineering, computer science, engineering, or related field. Master’s degree preferred.

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