Knowledge Graph Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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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
#Amazon Neptune #Lambda (AWS Lambda) #RDF (Resource Description Framework) #TigerGraph #"ETL (Extract #Transform #Load)" #Databases #NLP (Natural Language Processing) #Neo4J #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #JSON (JavaScript Object Notation) #Knowledge Graph #Graph Databases #AI (Artificial Intelligence) #Data Pipeline #Deployment
Role description
About our Client
Our client is one of the leading banking globally.
Designation: Knowledge Graph Engineer
Location: Houston, TX (Hybrid)
Experience: 7+ years
JD:
Skill Requirements
1: Ontology & Semantic Modeling
Strong background in RDF, OWL, SHACL, JSON-LD, and ontology design principles.
Experience managing ontology evolution and SME collaboration workflows.
Semantic Search and Reasoning
2: Knowledge Graph Engineering
Hands-on experience with graph databases (Amazon Neptune, Neo4j, Stardog, etc.).
Proficiency in SPARQL and Gremlin query development.
3: Data Pipelines & Orchestration
Expertise in AWS services (Step Functions, S3, EventBridge, Lambda, Glue).
Experience with document parsing (OCR, Textract, table/form extraction).
4: Applied AI & NLP for IE (Information Extraction)
Familiarity with large language models (Claude, GPT, etc.) for entity/relation extraction.
Experience with prompt engineering, post-processing, and guardrail integration.
Key Responsibilities
• Designing, building, and maintaining semantic data structures that enable machines to understand, connect, and reason over enterprise knowledge
• Knowledge Graph Development
• Design and implement knowledge graph pipelines using RDF, OWL, SHACL, and/or property graphs (e.g., Neo4j, TigerGraph).
• Develop ontology models that reflect domain knowledge in collaboration with subject matter experts.
• Integrate structured, semi-structured, and unstructured data sources into the graph
• Deployment and Integration within AWS
please attach your updated resume while applying. You can share your resume on taukir@wiseskulls.com.
About our Client
Our client is one of the leading banking globally.
Designation: Knowledge Graph Engineer
Location: Houston, TX (Hybrid)
Experience: 7+ years
JD:
Skill Requirements
1: Ontology & Semantic Modeling
Strong background in RDF, OWL, SHACL, JSON-LD, and ontology design principles.
Experience managing ontology evolution and SME collaboration workflows.
Semantic Search and Reasoning
2: Knowledge Graph Engineering
Hands-on experience with graph databases (Amazon Neptune, Neo4j, Stardog, etc.).
Proficiency in SPARQL and Gremlin query development.
3: Data Pipelines & Orchestration
Expertise in AWS services (Step Functions, S3, EventBridge, Lambda, Glue).
Experience with document parsing (OCR, Textract, table/form extraction).
4: Applied AI & NLP for IE (Information Extraction)
Familiarity with large language models (Claude, GPT, etc.) for entity/relation extraction.
Experience with prompt engineering, post-processing, and guardrail integration.
Key Responsibilities
• Designing, building, and maintaining semantic data structures that enable machines to understand, connect, and reason over enterprise knowledge
• Knowledge Graph Development
• Design and implement knowledge graph pipelines using RDF, OWL, SHACL, and/or property graphs (e.g., Neo4j, TigerGraph).
• Develop ontology models that reflect domain knowledge in collaboration with subject matter experts.
• Integrate structured, semi-structured, and unstructured data sources into the graph
• Deployment and Integration within AWS
please attach your updated resume while applying. You can share your resume on taukir@wiseskulls.com.
