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Remote Knowledge Graph Jobs (NOW HIRING)

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Knowledge graph implementation (Neo4j preferred). * LLM optimization & improved response handling.

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top ... Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling.

Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Remote Required Skills * 3+ years of hands-on prompt engineering experience, ideally with ... Familiarity with graph-based data products or knowledge graph applications * Experience with red ...

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Remote Knowledge Graph information

What is the difference between Remote Knowledge Graph vs Remote Data Analyst?

AspectRemote Knowledge GraphRemote Data Analyst
Required CredentialsKnowledge Graph certifications, data modeling, database managementStatistics, data analysis, Excel, SQL certifications
Work EnvironmentCollaborative with data engineers, data scientists, and AI teamsAnalyzing datasets, reporting, and visualization tasks
Industry UsageTech, AI, data-driven companiesFinance, marketing, healthcare, and other sectors

Remote Knowledge Graph specialists focus on designing and managing knowledge graph structures to enhance data integration and AI applications, often working closely with data engineers. Remote Data Analysts interpret data sets to generate insights, reports, and visualizations for decision-making. While both roles require strong analytical skills, knowledge of databases, and remote work capabilities, their core functions and industry applications differ significantly.

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What are the most commonly searched types of Knowledge Graph jobs?

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Infographic showing various Remote Knowledge Graph job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Data Engineer (Knowledge Graph)

VeeRteq Solutions Inc.

Plano, TX โ€ข Remote

$117K - $140K/yr

Contractor

Posted 5 days ago


Job description

Job Title: Data Engineer (Knowledge Graph)

Location: [Remote USA]

Position Overview

We are seeking a skilled Data Engineer with expertise in Knowledge Graphs to design, build, and maintain scalable data pipelines and graph databases. In this role, you will bridge traditional data engineering (ETL/ELT, data modeling, warehouse architecture) with graph technologies to turn complex, interconnected datasets into actionable semantic insights.

Key Responsibilities

  • Graph & Data Modeling: Design and implement graph data models (Property Graph / RDF) to represent complex business domains, entities, and relationships.

  • Pipeline Development: Build, optimize, and maintain robust ETL/ELT pipelines to ingest, transform, and map structured and unstructured data into graph storage systems.

  • Graph Architecture: Manage, query, and optimize graph database solutions (e.g., Neo4j, Amazon Neptune, GraphDB, TigerGraph) using query languages like Cypher, SPARQL, or Gremlin.

  • Data Integration & Quality: Implement entity resolution, link prediction, and data deduplication techniques to maintain high-quality semantic data integration.

  • API & Service Integration: Expose graph data through RESTful or GraphQL APIs for downstream analytics, recommendation systems, search engines, and AI/ML pipelines (including RAG implementations).

  • Cross-Functional Collaboration: Partner with Data Scientists, Software Engineers, and Product Managers to define requirements and deliver graph-powered tools.

Qualifications & Requirements

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.

  • Data Engineering Experience: 8+ years of core data engineering experience working with SQL, Python/Scala, big data frameworks (Apache Spark), and cloud platforms (AWS, GCP, or Azure).

  • Graph Technologies: Hands-on experience with graph databases (e.g., Neo4j, Neptune, Stardog, AllegroGraph) and graph query languages (Cypher, SPARQL, or Gremlin).

  • Ontology & Semantics: Understanding of Semantic Web standards (OWL, RDF, SHACL, SKOS) or property graph principles.

  • Data Warehousing & Orchestration: Familiarity with modern data tools like Snowflake, Databricks, dbt, and workflow schedulers like Apache Airflow.

Preferred Skills

  • Experience with Graph Neural Networks (GNNs) or graph analytics algorithms (e.g., PageRank, Community Detection, Shortest Path).

  • Exposure to Retrieval-Augmented Generation (RAG) architecture using GraphRAG techniques for LLM applications.

  • Knowledge of vector databases and embedding generation alongside semantic graphs.

VeeRteq Solutions is an Equal Opportunity Employer