Shape semantic data and industrial knowledge systems for real-time operational intelligence in advanced manufacturing. This onsite role in Oak Ridge, Tennessee supports mission-driven national security programs in a high-security DOE/NNSA environment. You will lead design, engineering, and governance of large-scale semantic models and knowledge architectures, with a culture that values diverse perspectives, continuous learning, and professional development through mentorship and continuing education support.

Salary range: USD 86,450 - 136,000 per year. Work location: On-site in Oak Ridge, TN (Q Clearance Required).

Responsibilities

Design semantic data models and ontologies for 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 namespaces aligned with ISA-95 and W3C standards to support 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 R2RML/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 frameworks, and anomaly detection.
Develop reusable frameworks for units modeling, hierarchical structures, identifier normalization, and event modeling.
Mentor engineering teams and contribute to enterprise data modernization strategies.
Maintain semantic specifications, governance artifacts, workflows, and compliance documentation.
Participate in DOE/NNSA audits, reviews, and inspections.

Requirements

Bachelor’s degree in Engineering, Physics, Computer Engineering, Information Science, Computer Science, or a 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.
Experience integrating OT/IoT, edge devices, and SCADA systems into unified data environments.
Strong knowledge of data architecture principles and modern storage paradigms.
Proficiency in Python, Java, or Scala.
Familiarity with cloud platforms and Kubernetes.
Understanding of semantic governance and lifecycle management.
Must be a U.S. citizen with ability to obtain and maintain a DOE Q clearance.
Must be able to obtain and maintain a DOE security clearance.

Technologies

OWL, RDF, RDFS, SKOS, SHACL, SPARQL, ISA-95, W3C, time-series databases, knowledge graphs, lakehouse systems, R2RML, RML, Python, Java, Scala, Kubernetes, cloud platforms, OT/IoT, edge devices, SCADA systems

Benefits

Competitive salary and benefits.
Flexible work schedules and paid time off (as applicable).
Professional development including mentorship and continuing education support.
An inclusive culture that values diverse perspectives.
Opportunities to contribute to mission-driven national security programs.
Continuous learning and training for career growth.

Preferred Qualifications

Master’s degree in Engineering, Computer Science, Robotics, Information Science, or related field.
Experience in automotive, aerospace, chemical, or high-throughput manufacturing sectors.
Consulting or enterprise-scale modernization experience.
Experience with Unified Namespace, data mesh/fabric, and graph-enabled AI frameworks.
Familiarity with Databricks, Snowflake, or AWS analytics.
Experience with semantic modularization, versioning, and interoperability.
Experience leading global engineering teams.

U.S. Citizen and Clearance / Screening

All candidates must be U.S. citizens.
Selected applicants must complete a pre-employment check and drug screening.
This role may require eligibility to access classified/sensitive information, including an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.

Federal Contractor / Health and Safety Protocols

BWX Technologies, Inc. and subsidiaries, affiliates, and related entities comply with federal, state, local laws, and customer requirements regarding health and safety protocols.
New hires must adhere to applicable company health and safety requirements within the workplace as a condition of employment.

Equal Employment Opportunity

BWXT is committed to the concept of Equal Employment Opportunity.

Principal Data Engineer

Job Description