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Semantic Software Engineer

Velvet Ledger Workforce

Louisville, TN

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JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Application Programming Interface (API), Best Practices, Code Reviews, Data Modeling, Data Processing, Data Quality, Debugging Skills, Documentation, GraphQL, Identify Issues, Interoperability, Knowledge Modeling, Metadata, Multiplatform/Cross-Platform, Ontology, Problem Solving Skills, Quality Assurance Methodology, SPARQL, Scalable System Development, Semantic Reasoner, Software Design, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Structured Data, Team Player, Virtualization
LOCATION
Louisville, TN
POSTED
21 days ago

Job Title: Semantic Software Engineer (77379-1)

Location: Louisville, TN (100% On-site)

Qualifications:

  • Experience Required: 8-10
  • 7+ years as Semantic Software Engineer
  • Data Virtualization - 7+ years
  • Experienced Semantic Software Engineer to design and develop software solutions that leverage semantic technologies, ontologies, and structured knowledge models.
  • The role focuses on enabling semantic interoperability, knowledge-driven applications, and standards-based data exchange across enterprise platforms.
  • Practical experience implementing semantic data virtualization (e.g. R2RML mappings) and integrating knowledge graphs with analytics pipelines.
  • Proficiency with semantic stores reasoners and building scalable SPARQL GraphQL or API based semantic services.

Roles & Responsibilities:

  • Design and develop semantic-enabled software components and services
  • Implement solutions that leverage ontologies, knowledge models, and semantic metadata
  • Integrate semantic layers with APIs, backend services, and data platforms
  • Develop and maintain semantic data processing and validation logic
  • Collaborate with ontologists, architects, and domain experts to translate semantic models into cutable solutions
  • Support semantic interoperability across systems and platforms
  • Ensure semantic consistency across data ingestion, transformation, and consumption layers
  • Participate in design reviews, code reviews, and architecture discussions
  • Troubleshoot and resolve issues related to semantic data interpretation and integration
  • Follow software engineering best practices for coding, testing, and documentation
  • Strong understanding of software development principles and SDLC
  • Hands-on experience working with structured data models and metadata-driven systems
  • Experience integrating semantic models with backend services or APIs
  • Familiarity with ontology-driven or standards-based data representations
  • Strong problem-solving, analytical, and debugging skills
  • Ability to collaborate with both technical and domain stakeholders
  • Experience working in agile development projects and sprint deliver

About the Company

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Velvet Ledger Workforce