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.
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.
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.
