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Job Description: What You'll Need

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related STEM field 
5+ years of hands-on experience in semantic web or knowledge graph engineering, including leading complex projects. 
Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB. (Amazon Neptune preferred) 
Strong proficiency in Python; familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus.
Practical experience with RDF, OWL, SPARQL, and ideally SHACL. 
Experience with relational databases (SQL) and graph databases (SPARQL). 
Hands-on experience with ontology/graph tools such as Protégé, TopBraid, or Metaphactory. (Metaphactory preferred) 
Solid understanding of data modeling, ETL processes, and data governance. 
Experience with cloud platforms (AWS preferred) and their data services. 
Understanding of AI/ML concepts and how semantic data can enhance AI applications. 
Familiarity with CI/CD, agile practices, and infrastructure tools like Git, Jenkins, Azure DevOps, and Terraform. 
Strong communication and problem-solving skills, with the ability to explain complex technical concepts to non-technical stakeholders. 
Bonus: Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.