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Contract Knowledge Graph Software Engineer Jobs in Texas

Geico

Staff Software Engineer (HYBRID)

Dallas, TX

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 ...

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

NAVA Software is looking for an AI Engineer Details: AI Engineer Location: 100% Remote Duration: 6+ ... Knowledge graph implementation (Neo4j preferred). * LLM optimization & improved response handling.

Raytheon

Senior Software Engineer (Onsite)

Richardson, TX · On-site

$111.20K - $146.70K/yr

Raytheon, the world's largest aerospace and defense company, is hiring a Senior Software Engineer ... knowledge graph solutions. • Contribute to integration, debugging, and performance tuning. • ...

Keylent

AI/ML Engineer

Dallas, TX · On-site

AI/ML Engineer Onsite in Dallas, TX + Charlotte, NC AIML + Knowledge Graph GenAI Engineer (8 + years) Experienced AI/ML Engineer with a strong foundation in knowledge graph engineering and generative ...

Frontier Technology Inc.

AI/ML Software Engineer

Dallas, TX · On-site +1

$140K - $220K/yr

Familiarity with databases such as PostgreSQL, MongoDB, or graph databases. * Knowledge of ... Bachelor's degree in Computer Science, Software Engineering, or a related technical field. * Active ...

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Contract Knowledge Graph Software Engineer information

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.

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 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 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 are the most commonly searched types of Knowledge Graph Software Engineer jobs in Texas? The most popular types of Knowledge Graph Software Engineer jobs in Texas are:
Contract Knowledge Graph Software Engineer jobs near you
Software Engineer

Software Engineer

Radiance Technologies

San Antonio, TX

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Defense/Aerospace market. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

We are searching for a talented Software Engineer/Developer to join our team supporting the Joint Electromagnetic Warfare Center (JEWC). We are looking for an experienced developer to work with a diverse team of software engineers, data scientists, and analysts to support the integration of semantic web technologies into the SaaS portal, enabling advanced data querying, relationship mapping, and knowledge graph construction. Must have demonstrated expertise in SPARQL query development and graph database technologies (e.g., RDF, OWL, or similar). Regular progress updates and rigorous testing documentation will be required.

Key Responsibilities:

  • Collaborate with government stakeholders to meet technical and operational objectives.
  • Participate in all phases of the software development lifecycle using Agile or other industry standard methodologies.

Required Skills:

  • Bachelor's degree or higher in Computer Science, Software Engineering, or related STEM field.
  • Semantic Web Technologies
    • SPARQL query development
    • Resource Description Framework (RDF)
    • Ontology Web Language (OWL)
    • Experience constructing and querying knowledge graphs
  • Graph Database experience
    • Hands-on experience with graph databases (e.g. GraphDB, Stardog, Neo4j with RDF plugins, or similar triple stores)
  • Software Development
    • Proficiency in software languages used with semantic web tools (e.g., Python, Java, JavaScript, C#)
  • Data Integration and ETL
    • Experience ingesting, transforming, and linking disparate data sources into graph structures
    • Ability to develop data pipelines that support semantic enrichment and ontology-driven modeling
  • Strong communication and organizational skills.
  • U.S. citizenship.

Required Experience:

  • Active TS Clearance with ability to receive SCI.
  • Minimum of 5 years' experience in software engineering or related field.
  • Minimum of 5 years' experience with software development lifecycle and methodologies.
  • Prior experience in SPARQL query development and graph database technologies (e.g., RDF, OWL, or similar).
  • Prior experience supporting the integration of semantic web technologies into the SaaS portal, enabling advanced data querying, relationship mapping, and knowledge graph construction.
  • Familiarity with software ontology and triple-store databases.
  • Familiarity with building HTTP-based web services using a framework such as JavaScript, Java Spring Boot, etc.
  • Familiarity with source management repositories such as: Git (GitLab, GitHub, or bare Git), Apache Subversion, or BitBucket.

Desired Qualifications:

  • Active TS/SCI clearance.
  • Experience supporting Department of Defense or Electromagnetic Spectrum Operations (EMSO) programs.
  • Familiarity with secure software development practices.
  • Familiarity with data description languages such as: XML, YAML, JSON, and JSON-LD for data exchange, configuration, or API integration.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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