Principal Data Engineer

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.

-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers.

Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit  .

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Welcome to BWXT
We believe in empowering our employees and cultivating a dynamic workplace that fosters growth, collaboration, and technical excellence. At our Oak Ridge, Tennessee Enrichment Operations site, you will join teams working at the forefront of advanced nuclear manufacturing, precision engineering, and mission‑critical national security programs. Whether you're an experienced professional or just starting your career, you’ll find opportunities to challenge yourself, partner with seasoned experts, and contribute to innovation shaping the future of nuclear technology.

Our work requires a wide range of skills, and we welcome candidates from diverse backgrounds and career stages who share a passion for meaningful impact and technical advancement.

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As our Principal Data Engineer for Semantic Modeling & Industrial Knowledge Architecture, you will lead the design, engineering, and governance of large‑scale semantic data models and industrial knowledge systems that support real‑time operational intelligence across advanced manufacturing environments. You will build unified name spaces, enterprise knowledge graphs, and ontology-driven architectures that ensure consistent interpretation, traceability, and interoperability of mission‑critical industrial data. This role partners with controls engineers, data architects, AI/ML teams, and manufacturing SMEs to deliver enterprise‑grade foundations for analytics, predictive maintenance, simulation workflows, and AI-driven automation in a high‑security DOE/NNSA environment.

On‑site in Oak Ridge, Tennessee (Q Clearance Required)

• Design semantic data models and ontologies enabling unified interpretation of industrial data across chemical, aerospace, automotive, and high‑throughput manufacturing sectors.
• Develop enterprise knowledge graph components using OWL, RDF, RDFS, SKOS, SHACL, and SPARQL.
• Build unified name spaces aligned with ISA‑95 and W3C standards to ensure cross‑system interoperability.
• Architect scalable storage solutions including time‑series databases, knowledge graphs, and lakehouse systems.
• Engineer pipelines to ingest, reconcile, and contextualize structured, semi‑structured, streaming, and unstructured data.
• Apply governance practices including versioning, modularization, URI strategies, and quality gates.
• Map relational models into semantic representations using R2
  
  RML/RML.
• Support AI/ML and simulation teams by embedding semantic models into analytics and automation workflows.
• Lead workshops with SMEs to define domain concepts, modeling requirements, and competency questions.
• Implement data quality controls, lineage, validation…