Senior Knowledge Graph Engineer

Role Overview:

• Design, build, and maintain production knowledge graph solutions across Labeled Property Graph (LPG) and RDF graph technologies.
• Translate ontology and mapping specifications into scalable graph implementations for healthcare and clinical data.

Key Responsibilities:

• Build pipelines to transform healthcare/FHIR data into graph representations and implement mappings to clinical ontology concepts.
• Develop reusable mapping patterns, maintain provenance, and optimize graph queries using Cypher and/or SPARQL.
• Implement automated validation and testing to resolve mapping and graph-quality issues.

Required Qualifications:

• 5+ years of software/data engineering experience with hands-on knowledge graph or graph technology expertise.
• Strong understanding of graph data modeling, entity identity, mappings, and data quality.
• Proficiency in Python, Java, or similar languages and experience with graph databases or RDF triple stores.

What Sets You Apart:

• Hands-on experience with both LPG and RDF/semantic knowledge graphs.
• Healthcare or life sciences data experience, including HL7 FHIR and clinical terminologies such as SNOMED CT, LOINC, RxNorm, ICD, or UMLS.
• Experience with ontology-driven integration, SHACL validation, and cloud/CI/CD production environments.