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Contract Knowledge Graph Jobs (NOW HIRING)

Spiceorb

Knowledge Graph Engineer

Frisco, TX

Knowledge Graph Engineer Location: Frisco, TX and Atlanta, GA (Onsite) Duration ... Contract Must: * Graph DB (Neptune OR Neo4j OR Tiger Graph) * Gremlin OR Cypher Good to have:

Peraton

Knowledge Base Engineer

Annapolis Junction, MD · On-site

$104K - $166K/yr

Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration #px2026 ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ · On-site

$104K - $166K/yr

Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration #px2026 ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

Anblicks

Lead AI Engineer ( Agentic AI)

Richardson, TX · Hybrid

$93K - $122K/yr

Richardson TX (Hybrid) Duration: Long Term contract Key Responsibilities Knowledge Graph & Ontology (Neo4j / App Orchid) * Design and implement ontology models and semantic frameworks * Build and ...

Prescient Edge

Knowledge Manager

Doral, FL · On-site

Please note that the availability of this position is contingent upon contract award. Benefits: At ... Must be proficient in metadata management frameworks, knowledge graph integration, and structured ...

FastTek

Artificial Intelligence Specialist

Dearborn, MI · Remote

Knowledge Graph: Understanding semantic ontologies and how they enable advanced analytics. * COTS ... Develop reusable integration patterns and data contracts to ensure that AI solutions can be scaled ...

IT America Inc

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database ... Strong knowledge of OWL/RDF, ontology design, and semantic web standards. * Proven hands-on ...

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Contract Knowledge Graph information

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$9

$31

$119

How much do contract knowledge graph jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for contract knowledge graph in the United States is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.96 per hour, depending on experience, location, and employer.

How does a Contract Knowledge Graph specialist typically collaborate with legal and IT teams during implementation projects?

A Contract Knowledge Graph specialist often works closely with legal teams to understand contract structures, key clauses, and compliance requirements, ensuring that the graph accurately represents legal relationships and obligations. Simultaneously, they partner with IT and data teams to integrate data sources, design the graph schema, and implement technical solutions. Effective collaboration requires clear communication, regular meetings, and the ability to translate legal concepts into technical requirements, which helps ensure the knowledge graph delivers actionable insights for both legal and business stakeholders.

What are the key skills and qualifications needed to thrive as a Contract Knowledge Graph Specialist, and why are they important?

To excel as a Contract Knowledge Graph Specialist, you need expertise in semantic data modeling, contract analysis, and a background in computer science or information management. Familiarity with tools like Neo4j, RDF, SPARQL, and experience with natural language processing (NLP) solutions are typically required. Strong analytical thinking, attention to detail, and effective communication skills help translate complex contract terms into structured, actionable data. These competencies ensure accurate, scalable contract data representation, enabling better compliance, searchability, and automation for organizations.

What is the difference between Contract Knowledge Graph vs Contract Analyst?

AspectContract Knowledge GraphContract Analyst
Required CredentialsTypically a background in data science, knowledge graphs, or related fieldsUsually a degree in law, business, or finance
Work EnvironmentData-driven, often in tech or AI-focused teamsLegal, finance, or corporate departments
Employer & Industry UsageTech companies, AI firms, legal techCorporations, law firms, government agencies
Common Search & Comparison IntentUnderstanding data modeling and AI applications in contractsAnalyzing contract terms and compliance

The Contract Knowledge Graph focuses on creating structured, interconnected data models for contracts using AI and data science skills. In contrast, a Contract Analyst primarily reviews, interprets, and manages contract data within legal or business contexts. While both roles deal with contracts, the Knowledge Graph role emphasizes data structuring and AI, whereas the Analyst role centers on contract review and analysis.

What is a Contract Knowledge Graph?

A Contract Knowledge Graph is a structured representation of the information and relationships found within contracts. It uses graph technology to map entities such as parties, clauses, obligations, and deadlines, and the connections between them. This makes it easier to search, analyze, and visualize contractual data, enabling more efficient compliance checks, risk assessments, and contract lifecycle management. Organizations use contract knowledge graphs to gain better insights, automate contract analysis, and improve decision-making processes.
More about Contract Knowledge Graph jobs
What cities are hiring for Contract Knowledge Graph jobs? Cities with the most Contract Knowledge Graph job openings:
What are the most commonly searched types of Knowledge Graph jobs? The most popular types of Knowledge Graph jobs are:
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Contract Knowledge Graph jobs near you
Infographic showing various Contract Knowledge Graph job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 68% Full Time, and 27% Part Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $64,550 per year, or $31 per hour.

Knowledge Graph Engineer

e-IT Professionals Corp.

Frisco, TX

Other

Posted 8 days ago

Job description

Job Title: Knowledge Graph Engineer

Location: Frisco TX or Atlanta, GA
Mode: Contract

Should work any of these companys :: Google Meta Amazon Apple Netflix Microsoft Nvidia Salesforce Oracle IBM Intel Cisco Adobe Palantir Snowflake Databricks Twitter / X LinkedIn Uber Airbnb

Must: - Graph DB (Neptune OR Neo4j OR TigerGraph) - Gremlin OR Cypher
Good to have: - Neptune specific - Flink - Embeddings
About the Role
We are looking for an experienced Knowledge Graph Engineer to design, build, and scale a production-grade property graph platform that powers customer segmentation, device intelligence, and household-level insights. You will own the full lifecycle from schema design and bulk ingestion to real-time CDC pipelines and graph embedding working closely with the segment engine team to deliver high-performance traversal queries and ML-ready embeddings at scale.
Key Responsibilities
Schema Design: Architect the property graph schema defining node types Customer, Device, Account, Plan, Offer and edge types HAS_DEVICE, ON_PLAN, SHARES_HOUSEHOLD, SIMILAR_TO ensuring optimal cardinality and partition key design for scale.
Bulk Load Pipeline: Build and validate the initial bulk load job across the ingestion stack (e.g., Delta Lake S3 staging Neptune bulk loader or equivalent technology).
Real-Time CDC Pipeline: Implement a change data capture pipeline (e.g., Cosmos DB Change Feed Kafka Flink Neptune writer) with an end-to-end lag target of <60 seconds.
Query Development: Write and optimize Gremlin traversal queries for household segmentation, device-sharing patterns, and account-linked segmentation use cases.
Index Strategy: Design vertex-centric indexes and leverage Neptune Analytics HNSW for embedding-based similarity lookups.
Graph Embeddings: Build a Node2Vec embedding pipeline (SageMaker or Databricks) and load SIMILAR_TO edges to support ML-driven similarity features.
Documentation: Document schema definitions, traversal patterns, and query performance benchmarks for consumption by the segment engine team.
Must-Have Skills & Qualifications
4+ years of graph database engineering experience with production Gremlin / TinkerPop expertise.
AWS Neptune or equivalent cloud graph database bulk loader operations, instance sizing, HA configuration, and VPC networking.
Apache Kafka and Apache Flink for CDC pipeline design and implementation.
Property graph data modelling entity resolution, edge cardinality, and partition key design.
Graph traversal performance profiling at scale (100M+ nodes).
Nice-to-Have Skills
Graph embedding algorithms Node2Vec, GraphSAGE, or similar.
Neptune Analytics experience for graph analytics workloads.
Neo4j migration or comparative architecture experience (trade-offs vs. Neptune at scale).
Python (gremlinpython) and Java traversal source authoring.
AWS SageMaker or Azure Databricks for embedding model training.
What We Offer
Opportunity to architect and own a greenfield knowledge graph platform at enterprise scale.
Work with cutting-edge graph and ML technologies across AWS, Kafka, Flink, and SageMaker ecosystems.
Collaborate with data engineering, ML, and product teams to drive real customer and business impact.
Competitive compensation, flexible work arrangements, and a culture of continuous learning.

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