KNOWLEDGE GRAPH ENGINEER
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Knowledge Graph Engineer in Houston, TX (Hybrid) for a 6+ month contract. Key skills include ontology modeling, graph databases (Amazon Neptune, Neo4j), AWS data pipelines, and applied AI/NLP expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Neo4J #JSON (JavaScript Object Notation) #Knowledge Graph #Databases #Graph Databases #Data Pipeline #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Lambda (AWS Lambda) #RDF (Resource Description Framework) #AWS (Amazon Web Services) #Amazon Neptune #Cloud #S3 (Amazon Simple Storage Service)
Role description
Hiring: Knowledge Graph Engineer | Houston, TX (Hybrid) | 6+ Months (Long-term)
Location: Houston, TX (Hybrid)
Duration: 6+ months (Long-term)
Engagement: Contract
Job Summary
We’re looking for a Knowledge Graph Engineer with strong expertise in ontology modeling, graph databases, and applied AI/NLP. This role offers the opportunity to design and implement cutting-edge semantic data structures and pipelines that drive enterprise-level knowledge and reasoning capabilities.
Must-Have Skills
• Ontology & Semantic Modeling: RDF, OWL, SHACL, JSON-LD, ontology design, ontology evolution, SME collaboration.
• Knowledge Graph Engineering: Hands-on with Amazon Neptune, Neo4j, Stardog, SPARQL, Gremlin.
• Data Pipelines & Orchestration: AWS (Step Functions, S3, EventBridge, Lambda, Glue), OCR, Textract, form/table parsing.
• Applied AI & NLP for Information Extraction: Large language models (Claude, GPT, etc.), prompt engineering, post-processing, guardrails.
Key Responsibilities
• Design, build, and maintain semantic data structures enabling enterprise knowledge reasoning.
• Develop and manage knowledge graph pipelines with RDF/OWL/SHACL or property graphs.
• Collaborate with SMEs to develop ontology models that capture domain knowledge.
• Integrate structured, semi-structured, and unstructured data sources into the graph.
• Deploy and integrate solutions within AWS cloud environments.
📩 Interested? Apply now or DM us to explore this exciting opportunity! You can share resumes at imran@wiseskulls.com OR you can call us directly on +1 (669) 309-1707
Hiring: Knowledge Graph Engineer | Houston, TX (Hybrid) | 6+ Months (Long-term)
Location: Houston, TX (Hybrid)
Duration: 6+ months (Long-term)
Engagement: Contract
Job Summary
We’re looking for a Knowledge Graph Engineer with strong expertise in ontology modeling, graph databases, and applied AI/NLP. This role offers the opportunity to design and implement cutting-edge semantic data structures and pipelines that drive enterprise-level knowledge and reasoning capabilities.
Must-Have Skills
• Ontology & Semantic Modeling: RDF, OWL, SHACL, JSON-LD, ontology design, ontology evolution, SME collaboration.
• Knowledge Graph Engineering: Hands-on with Amazon Neptune, Neo4j, Stardog, SPARQL, Gremlin.
• Data Pipelines & Orchestration: AWS (Step Functions, S3, EventBridge, Lambda, Glue), OCR, Textract, form/table parsing.
• Applied AI & NLP for Information Extraction: Large language models (Claude, GPT, etc.), prompt engineering, post-processing, guardrails.
Key Responsibilities
• Design, build, and maintain semantic data structures enabling enterprise knowledge reasoning.
• Develop and manage knowledge graph pipelines with RDF/OWL/SHACL or property graphs.
• Collaborate with SMEs to develop ontology models that capture domain knowledge.
• Integrate structured, semi-structured, and unstructured data sources into the graph.
• Deploy and integrate solutions within AWS cloud environments.
📩 Interested? Apply now or DM us to explore this exciting opportunity! You can share resumes at imran@wiseskulls.com OR you can call us directly on +1 (669) 309-1707
