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Semantic Software Engineer

Job in Louisville, Blount County, Tennessee, 37777, USA
Listing for: Velvet Ledger Workforce
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    Backend Developer, SQL Developer, Database Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Louisville

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. R2

    RML 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
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