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Contract Knowledge Graph Software Engineer Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Software Engineer

Role: Software Engineer Location: Remote Duration: 6+ Months Required Skills * 8-10+ years of ... Experience working on Knowledge Graph or semantic systems, including ontology-driven design and ...

CYNET SYSTEMS

Knowledge Graph Architect/ Lead

San Jose, CA · On-site

$55 - $60/hr

... Knowledge Graph structures including entities, relationships, hierarchies, and semantic mappings. * 1+ years of experience in mapping business entities into graph-based semantic models. * 1+ years of ...

GHX

OR

$91K - $121K/yr

The Software Engineer 3 focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...

GHX

OR

$114K - $152K/yr

The Sr Software Engineer focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...

GHX

OR

$114K - $152K/yr

The Sr Software Engineer focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...

Geico

Staff Software Engineer (HYBRID)

Dallas, TX · On-site

GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Graph and Content Generation engineering group. This is a high-impact team focused on scaling GEICO's intelligent content ...

Geico

Staff Software Engineer (HYBRID)

Bethesda, MD · On-site

GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Graph and Content Generation engineering group. This is a high-impact team focused on scaling GEICO's intelligent content ...

Geico

Staff Software Engineer (HYBRID)

Seattle, WA

GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Graph and Content Generation engineering group. This is a high-impact team focused on scaling GEICO's intelligent content ...

Peraton

Senior Data Engineer - Knowledge Graphs

Reston, VA · On-site

$119K - $143K/yr

Partner with AI/ML, platform, and software engineering teams to ensure graph and semantic data ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

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All JobsContract Knowledge Graph Software Engineer Jobs

Contract Knowledge Graph Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do contract knowledge graph software engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for contract knowledge graph software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

How does a Contract Knowledge Graph Software Engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What is a Contract Knowledge Graph Software Engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

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

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.
What cities are hiring for Contract Knowledge Graph Software Engineer jobs? Cities with the most Contract Knowledge Graph Software Engineer job openings:
What are the most commonly searched types of Knowledge Graph Software Engineer jobs? The most popular types of Knowledge Graph Software Engineer jobs are:
What states have the most Contract Knowledge Graph Software Engineer jobs? States with the most job openings for Contract Knowledge Graph Software Engineer jobs include:
Contract Knowledge Graph Software Engineer jobs near you

Software Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 8 days ago

Job description

Role: Software Engineer
Location: Remote
Duration: 6+ Months
Required Skills
  • 8-10+ years of experience in backend development using Java and/or Node.js, with strong hands-on expertise in building scalable systems (Spring Boot / Node frameworks)
  • Strong experience designing and developing RESTful APIs and microservices in distributed architectures
  • Solid understanding of object-oriented design principles and design patterns (e.g., MVC, domain-driven design)
  • Hands-on experience with graph technologies, including Neo4j, and familiarity with graph data modeling and query languages (e.g., Cypher)
  • Experience working on Knowledge Graph or semantic systems, including ontology-driven design and entity relationships
  • Familiarity with modern AI-driven architectures such as semantic routing, MCP servers, and LLM-integrated systems
  • Strong experience with real-time or micro-batch data processing and event-driven architectures
  • Proficiency with CI/CD pipelines and source control (Git) in enterprise environments
  • Experience with cloud platforms (AWS/GCP) and containerized deployments
  • Solid understanding of data modeling (relational and/or graph-based) and data integration patterns
  • Experience working in Agile/Scrum environments with strong collaboration and problem-solving skills
  • Experience with Graph + AI patterns (e.g., GraphRAG, LLM + Knowledge Graph integration)
  • Exposure to Salesforce ecosystem (APIs, Data Cloud, or platform integrations)
  • Experience with ontology management tools and semantic layer design
  • Familiarity with vector databases and embedding-based retrieval systems
  • Experience with data governance, metadata management, or enterprise data platforms
  • Exposure to streaming platforms or advanced observability frameworks for distributed systems

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