On-Site Principal Data Engineer: Semantic Modeling & Graphs

BWX Technologies, Inc.; Oak Ridge (TN); On-site; USD 86,000 - 136,000; Full time

Benefits offered by this job

Competitive salary

Benefits

Professional development

Inclusive culture

National security programs

Continuous learning

Job summary

BWX Technologies, Inc. in Oak Ridge, Tennessee seeks a Principal Data Engineer to lead semantic modeling and industrial knowledge architectures for real-time operational intelligence in a high-security DOE/NNSA environment.

You will design ontologies, build knowledge graphs, and ensure cross-system interoperability with controls, AI/ML teams, and manufacturing SMEs. The role emphasizes governance, data quality, and scalable architectures, with collaboration across engineering disciplines to

Qualifications

• Bachelor’s degree in Engineering, Physics, Computer Engineering, Information Science, Computer Science, or related STEM field.
• Minimum 5 years of experience in data engineering, semantic modeling, ontology design, or knowledge graph development.
• Experience designing ontologies using OWL, RDF, RDFS, SKOS, SHACL, and SPARQL.
• Hands-on experience with pipelines for structured, semi-structured, streaming, and unstructured data.
• Must be a U.S. citizen with ability to obtain and maintain a DOE Q clearance.

Responsibilities

• Design semantic data models and ontologies enabling unified interpretation of industrial data across sectors.
• Develop enterprise knowledge graph components using OWL, RDF, RDFS, SKOS, SHACL, and SPARQL.
• Build unified namespaces aligned with ISA-95 and W3C standards for interoperability.
• Architect scalable storage solutions including time-series databases, knowledge graphs, and lakehouse systems.
• Engineer pipelines to ingest, reconcile, and contextualize data across formats.

Job description

BWX Technologies, Inc. in Oak Ridge, Tennessee seeks a Principal Data Engineer to lead semantic modeling and industrial knowledge architectures for real-time operational intelligence in a high-security DOE/NNSA environment.

You will design ontologies, build knowledge graphs, and ensure cross-system interoperability with controls, AI/ML teams, and manufacturing SMEs. The role emphasizes governance, data quality, and scalable architectures, with collaboration across engineering disciplines to