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Full Time Knowledge Graph Jobs (NOW HIRING)

You will build our local knowledge graph: the POI and places-data systems, entity resolution, and ... The US base salary range for this full-time position is listed below. Pay may vary based on a ...

You will build our local knowledge graph: the POI and places-data systems, entity resolution, and ... The US base salary range for this full-time position is listed below. Pay may vary based on a ...

... Full-Time Career Level Staff Education None Travel None Security Clearance Required TS/SCI ... Must be proficient in metadata management frameworks, knowledge graph integration, and structured ...

Cupertino, CA (onsite) Job Type: Full time • Strong experience with Large Language Models (LLMs ... and knowledge graph integrations • Ensure code quality, scalability, and reliability in ...

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Full Time Knowledge Graph information

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$18

$28

$36

How much do full time knowledge graph jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for full time knowledge graph in the United States is $28.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $32.93 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Knowledge Graph jobs? The most popular types of Knowledge Graph jobs are:

Data & Knowledge Graph Architect

Inficare Technologies

Lake Dallas, TX • On-site

$150K/yr

Full-time

Posted 19 days ago


Job description

Job Title: Data & Knowledge Graph Architect
Job Type: Full Time
Experience: 10+ years
Job Overview
Our client is seeking a senior Data & Knowledge Graph Architect to build systems that collect, manage, and convert raw data into usable information for business requirements. You will play a crucial role in ensuring data retrieval, reliability, quality, and efficiency within the organization, with a focus on RDF-based graph databases and knowledge graph design.
Required Skills
  • Languages & Frameworks: Python, Java, Spark (10-12+ years)
  • Graph & Query: RDF-based Graph Databases (RDF4j, Virtuoso, GraphDB, Apache Jena), SPARQL (6+ years)
  • Vector Databases: Pinecone, FAISS (6+ years)
  • Data Engineering: Data Pipeline Design, Batch & Stream Processing, Kafka, Large Data Handling
  • Databases: SQL, NoSQL, RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB
  • Cloud Platforms: Azure, AWS, GCP - minimum two platforms (8+ years)
  • APIs & Messaging: REST APIs, FastAPI, event-driven messaging technologies
  • AI Coding Agents: Proficiency in AI-assisted coding tools
  • Architect-level experience: 6+ years in an architect role