Senior Data Engineer & Scientist

Trane Technologies • Davidson, NC

4d • Hybrid

About The Position

As a Senior Data Scientist focused on data engineering, you will discover, connect, transform, and operationalize engineering data and knowledge so downstream AI systems, applications, and engineering workflows can use it reliably. The role spans distributed data sources, structured and unstructured content, metadata, lineage, data quality, cloud data services, and reusable headless data capabilities. You will help make engineering data discoverable, trustworthy, and ready for retrieval and agent use.

The position works onsite Monday through Thursday with colleagues; on Fridays, employees may choose their work location in consideration of work requirements. The role is salary-based and incentive eligible.

Requirements

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

Nice To Haves

• Master’s degree.

Responsibilities

• 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.

Benefits

• Health insurance.
• Holistic wellness programs with incentives.
• Fertility coverage and adoption/surrogacy assistance.
• Up to 15 vacation days, paid holidays, sick leave, and additional options supporting volunteer and parental leave.
• 401(k) match.
• Educational and training opportunities through company programs.
• Tuition assistance and student debt support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior