Senior Knowledge Graph Engineer - Remote (US)

Quantiphi

Boston (MA)

Hybrid

USD 140,000 - 190,000

Full time

7 days ago
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Job summary

Quantiphi is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. You will work across LPG and RDF graphs, translating ontology specifications into scalable pipelines and robust graph queries.

Collaboration with ontology, FHIR, terminology, and data teams is essential to deliver high-quality mappings and data provenance. The role requires 5+ years in software/data engineering with hands-on graph technologies, strong

Qualifications

  • 5+ years of software/data engineering experience, including hands-on experience with knowledge graphs or graph technologies.
  • Strong understanding of knowledge graph and graph data modeling concepts.
  • Experience with LPG and RDF graph models and related technologies.
  • Strong programming skills in Python or Java.
  • Experience building production data ingestion, transformation, or integration pipelines.
  • Familiarity with HL7 FHIR and clinical terminologies is a plus.

Responsibilities

  • Develop, implement, build, and maintain production knowledge graph solutions across LPG and RDF graph technologies.
  • Build scalable pipelines to transform healthcare/FHIR data into graph representations.
  • Implement mappings between patient/clinical data and concepts in the clinical ontology.
  • Develop reusable mapping and transformation patterns for scalable solutions.
  • Maintain provenance and traceability between source data, mappings, and graph entities.
  • Develop and optimize graph queries using Cypher and/or SPARQL.
  • Participate in design reviews, code reviews, and best practices.

Skills

Knowledge graphs
Graph data modeling
Python
Java
Cypher
SPARQL
Ontology mapping
Data ingestion pipelines

Tools

Neo4j/Cypher
RDF/semantic technologies

Job description

Quantiphi is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. You will work across LPG and RDF graphs, translating ontology specifications into scalable pipelines and robust graph queries.

Collaboration with ontology, FHIR, terminology, and data teams is essential to deliver high-quality mappings and data provenance. The role requires 5+ years in software/data engineering with hands-on graph technologies, strong

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