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# Principal Data Engineer in Oak Ridge

- **Company:** Energy Jobline
- **Location:** Oak Ridge, TN, United States
- **Experience:** Expert
- **Salary:** $86,450.0 - $136,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Computer Engineering, Data Architecture, Information Engineering, Data Infrastructure, Graph Database, Supervisory Control and Data Acquisition (SCADA), Information Sciences, Python (Programming Language), Knowledge-Based Systems, Resource Description Framework (RDF), Data Mesh, Smart Devices, SPARQL, Data Streaming, Systems Integration, Unstructured Data, Ontology Design, Snowflake, Kubernetes, Information Technology, Semantic Modeling, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.energyjobline.com/job/principal-data-engineer-oak-ridge-32027421

## About the Role

n * Bachelor's degree in Engineering, Physics, Computer Engineering, Information Science, Computer Science, or related STEM field.\n
\n * Minimum 5 years of experience in data engineering, semantic modeling, ontology design, or knowledge graph development.\n
\n * Experience designing ontologies using OWL, RDF, RDFS, SKOS, SHACL, and SPARQL.\n
\n * Hands-on experience with pipelines for structured, semi-structured, streaming, and unstructured data.\n
\n * Experience integrating OT/IoT, edge devices, and SCADA systems into unified data environments.\n
\n * Strong knowledge of data architecture principles and modern storage paradigms.\n
\n * Proficiency in Python, Java, or Scala.\n
\n * Familiarity with cloud platforms and Kubernetes.\n
\n * Understanding of semantic governance and lifecycle management.\n
\n * Must be a U.S. with ability to obtain and maintain a DOE Q clearance.\n
\n * Must be able to obtain and maintain a DOE security clearance.\n
\n, n * Master's degree in Engineering, Computer Science, Robotics, Information Science, or related field.\n
\n * Experience in automotive, aerospace, chemical, or high-throughput manufacturing sectors.\n
\n * Consulting or enterprise-scale modernization experience.\n
\n * Experience with Unified Namespace, data mesh/fabric, and graph-enabled AI frameworks.\n
\n * Familiarity with Databricks, Snowflake, or AWS analytics.\n

## Description

n 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 namespaces, 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.