Data Engineer - Knowledge Graphs & Semantic Technologies
Core
Design, build, and evolve production knowledge graphs in Stardog to connect fragmented life science data into models for reasoning.
Role type
Senior Data Engineer (Knowledge Graphs & Semantic Technologies)
Builds
Knowledge graphs, ontologies, taxonomies, and semantic layers for life science data.
Domain
Life Science / Healthcare / Semantic Web
Deliverable
production ML models
Required skills
Stardog, RDF, RDFS, OWL, SKOS, SHACL, SPARQL, Python, SQL, Ontology Modeling, Entity Resolution, CI/CD, Data Quality
Preferred skills
Life science domain knowledge (Clinical, R&D, Regulatory), GxP regulations, FAIR data principles, GraphRAG/Vector Search, Terraform, Docker, Kubernetes
Technologies
Stardog, GraphDB, Amazon Neptune, Virtuoso, Anzo, GitHub Actions, Azure DevOps, SNOMED CT, MeSH, ChEBI, UMLS, LOINC, Neo4j
Responsibilities
Design and deploy knowledge graphs; Model domain ontologies and vocabularies; Write and optimize SPARQL queries; Integrate heterogeneous data sources; Run discovery sessions with SMEs; Automate graph builds and deployments; Embed data quality checks; Document models and governance.
