Senior Knowledge Graph Engineer — Remote US

Quantiphi, Inc.

United States

Remote

USD 120,000 - 180,000

Full time

6 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 with LPG and RDF approaches, translating ontology and mapping specifications into scalable graph implementations, including data transformation, provenance, and validation.

You will collaborate with ontology, FHIR, terminology, and data engineering teams to translate semantic decisions into robust production solutions, and contribute to design

Qualifications

  • 5+ years of software/data engineering with knowledge graphs or graph technologies.
  • Strong understanding of knowledge graph concepts and data modeling.
  • Hands-on in LPG (Neo4j/Cypher) or RDF/semantic tech (SPARQL, RDF/OWL).
  • Experience with graph databases and production data pipelines.
  • Understanding of identity, provenance, and data quality in graph contexts.

Responsibilities

  • Develop and maintain production knowledge graph solutions across LPG and RDF technologies.
  • Build scalable pipelines transforming healthcare data into graph representations.
  • Implement mappings between data and concepts in the clinical ontology.
  • Create reusable mapping and transformation patterns for graph data.
  • Develop and optimize queries using Cypher and SPARQL.
  • Ensure provenance, validation, and data quality throughout graphs.
  • Collaborate with ontology, FHIR, terminology, and data teams on mappings.
  • Participate in design reviews and engineering best practices.

Skills

Knowledge graphs
Python/Java
Graph databases
Cypher/SPARQL
Data modeling

Tools

Neo4j
RDF triple stores
SHACL

Job description

Quantiphi is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. You will work with LPG and RDF approaches, translating ontology and mapping specifications into scalable graph implementations, including data transformation, provenance, and validation.

You will collaborate with ontology, FHIR, terminology, and data engineering teams to translate semantic decisions into robust production solutions, and contribute to design

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