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.
