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.
Experience integrating OT/IoT, edge devices, and SCADA systems into unified data environments.
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.
All candidates must be U.S. citizens.
Selected applicants are required to successfully complete a pre-employment check and drug screening.
The position may require the ability to obtain and maintain applicable federal eligibility requirements for access to classified/sensitive information or matter which involves an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.