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Knowledge Graph Engineer Jobs in Philadelphia, PA

Jj

Director R&D AI Systems

Titusville, NJ · On-site

Knowledge Graph, Semantics and Context Engineering * Enable knowledge graph capabilities, ontology integration, semantic layers, entity resolution, vector services, embedding pipelines, and reusable ...

Johnson & Johnson

Director R&D AI Systems

Titusville, NJ · On-site

$150 - $259/hr

Knowledge Graph, Semantics and Context Engineering Enable knowledge graph capabilities, ontology integration, semantic layers, entity resolution, vector services, embedding pipelines, and reusable ...

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All JobsKnowledge Graph Engineer JobsKnowledge Graph Engineer Jobs in Philadelphia, PA

Knowledge Graph Engineer information

See Philadelphia, PA salary details

$33.3K

$90K

$143.3K

How much do knowledge graph engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for knowledge graph engineer in Philadelphia, PA is $89,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $110,000.00 per year, depending on experience, location, and employer.

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Knowledge Graph Engineer jobs near you
Infographic showing various Knowledge Graph Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $89,994 per year, or $43.3 per hour.

Enterprise Solutions Graph Database

H R PUNDITS INC

Collegeville, PA • On-site

Full-time

Re-posted 16 days ago

Job description

Job title : Enterprise Solutions Graph Database/ Architect
 Location: Upper Providence Township, PA
 (Onsite/Remote )
 Experience : 15 Years
Role Overview
 Seeking a seasoned Graph Database
 Knowledge Graph Expert to perform a comprehensive study of our existing platform. Evaluate our current architecture, data ontology, and query performance to provide a strategic roadmap. The goal is to evolve our Knowledge Graph into a robust, scalable engine that accelerates different Pharma areas ( drug discovery, clinical insights, and cross-departmental data democratization)
 
Required Qualifications
 Graph Expertise: 10+ years of experience with Graph Databases. Deep proficiency in LPG (Labeled Property Graphs) or RDF/Triple Stores.
 Pharma Domain Knowledge: Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical compounds, Patient journeys).
 Semantic Web Standards: Strong understanding of Linked Data principles, URI strategies, and ontology modeling.
 Data Engineering: Experience with ETL/ELT pipelines that feed graphs from unstructured (PDF publications) and structured (EDC, LIMS) sources.
 Advanced Analytics: Experience implementing Graph Data Science algorithms (centrality, community detection) or integrating Graphs with Machine Learning.
 Technical Stack Preferences
 Graph DBs: AnzoGraph, Neo4j, Stardog,
 Languages: Python, Java, SPARQL, Cypher, or Gremlin.
 Bio-Ontologies: Familiarity with OBO Foundry, ChEMBL, or Ensembl.