Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Semantic Data Modeler
Job Details
Mandatory skills
- Semantic modeling and knowledge graph development
Good to have skills: -
- Python, AWS, SQL
Responsibilities: -
- STEM field with 7+ years of hands-on work experience with a significant portion dedicated to semantic modeling and knowledge graph development, including experience in a lead or senior capacity.
- Deep and demonstrated expertise in designing, building, and managing ontologies, knowledge graphs, and property graphs.
- Extensive experience with leading graph database platforms (e.g., Amazon Neptune) and advanced proficiency in graph query languages (e.g., SPARQL).
- Strong working knowledge of OWL, RDFS, SHACL, and other semantic web standards.
- Experience with enterprise data modeling tools (e.g., Erwin) and specialized ontology/graph modeling tools
- Strong understanding and hands-on experience with relational databases (SQL) and familiarity with NoSQL databases (e.g., PostgreSQL).
- Proven ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, and to lead collaborative efforts across diverse teams.
- Demonstrated ability to analyze complex data challenges, identify root causes, and architect strategic, scalable solutions within a semantic context.
- Practical experience with AWS services related to data and ELT methodologies is often preferred.
- Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions.
- Bonus: Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.