What are the responsibilities and job description for the Senior Semantic Web Engineer (Hybrid) position at SR Partners LLC?
Position:- Senior Semantic Web Engineer
Location:- Chicago, IL (Hybrid)
Contract
Job description
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 Prot g , 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
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