USA_Developer
Varite, Louisville, TN, United States
Pay Rate Range: $50.98 - 52.48/hr.
GBAM Req ID: 10697189
Job Description:
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.
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
Generic Managerial Skills, If any
Experience working in agile development projects and sprint deliver
Key Words to search in Resume
Semantic Software Engineer, Semantic Engineering, Ontology-Driven Development, Knowledge Models, Interoperability, Semantic Data, Knowledge Graphs, Metadata
Pre-Screening Questionnaire
7+ years as Semantic Software Engineer
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.
*What are Regulated Positions
"Regulated Positions" are those positions which requires TAG to recruit candidates with specific work authorizations viz., US Citizens (or) US Persons only as these may be regulated by any of the below listed per MSA.
- ITAR (International Traffic in Arms Regulations).
- NERC CIP (NERC Critical Infrastructure Protection).
- NRC (Nuclear Regulatory Commission).
- Any other regulations as appropriat
Essential Skills:
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 SPARQLGraphQL or API based semantic services.
Skills:
Digital : Data Virtualization
Experience Required:
8-10 years
Skills: Category Name Required Importance Experience SkillCategoryTest1_MN Digital : Data Virtualization Yes 1 7+ years
GBAM Req ID: 10697189
Job Description:
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.
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
Generic Managerial Skills, If any
Experience working in agile development projects and sprint deliver
Key Words to search in Resume
Semantic Software Engineer, Semantic Engineering, Ontology-Driven Development, Knowledge Models, Interoperability, Semantic Data, Knowledge Graphs, Metadata
Pre-Screening Questionnaire
7+ years as Semantic Software Engineer
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.
*What are Regulated Positions
"Regulated Positions" are those positions which requires TAG to recruit candidates with specific work authorizations viz., US Citizens (or) US Persons only as these may be regulated by any of the below listed per MSA.
- ITAR (International Traffic in Arms Regulations).
- NERC CIP (NERC Critical Infrastructure Protection).
- NRC (Nuclear Regulatory Commission).
- Any other regulations as appropriat
Essential Skills:
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 SPARQLGraphQL or API based semantic services.
Skills:
Digital : Data Virtualization
Experience Required:
8-10 years
Skills: Category Name Required Importance Experience SkillCategoryTest1_MN Digital : Data Virtualization Yes 1 7+ years