Senior Semantic Web Engineer

Salary Range: 140000 to 180000 (Currency: USD) (Pay period: per-year-salary)

WHAT YOU'LL DO:

• Serve as a subject matter expert in semantic web development on our graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph technologies. 
• Collaborate with the Staff Semantic Engineer and other senior engineers to standardize tooling, design patterns, and modeling approaches. 
• Help define the technical direction for core semantic capabilities, ensuring scalable and robust solutions. 
• Independently research, evaluate, and propose innovative solutions to complex and ambiguous technical challenges. 
• Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms. 
• Write, test, and document clean, maintainable code, and apply automation to testing, integration, and deployment processes. 
• Partner with product owners to refine features into actionable user stories that deliver business value. 
• Evaluate and recommend external taxonomies and ontologies; author new ones as needed to support our domain. 
• Recommend and implement semantic web tools, platforms, and technologies. 
• Support ontology governance processes and enterprise graph management tools. 
• Collaborate with stakeholders, including data scientists, engineers, and developers, to understand requirements and build effective semantic solutions. 
• Provide technical mentorship to junior team members on semantic web principles and implementation patterns. 

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.