Full-Time Senior Semantic Web Engineer
Imo Online is hiring a remote Full-Time Senior Semantic Web Engineer. The career level for this job opening is Senior Manager and is accepting USA based applicants remotely. Read complete job description before applying.
Imo Online
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We are seeking a skilled and motivated Senior Semantic Web Engineer to join our team. You will work on advanced knowledge graph technologies, combining expertise in semantic web engineering, data modeling, and cloud-based solutions. Collaborate with a team of scientists, developers, and architects to design and implement scalable semantic web applications supporting healthcare data intelligence.
Responsibilities:
- Serve as a subject matter expert in semantic web development.
- Collaborate with other senior engineers to standardize tooling, design patterns, and modeling approaches.
- Help define the technical direction for core semantic capabilities.
- Independently research, evaluate, and propose innovative solutions to complex challenges.
- Build and manage scalable knowledge graph solutions.
- Write, test, and document clean, maintainable code.
- Apply automation to testing, integration, and deployment processes.
- Partner with product owners to refine features into actionable user stories.
- Evaluate and recommend external taxonomies and ontologies.
- Recommend and implement semantic web tools, platforms, and technologies.
- Support ontology governance processes.
- Collaborate with stakeholders to understand requirements.
- Provide technical mentorship to junior team members.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or 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 (e.g., Amazon Neptune, Neo4j).
- Strong proficiency in Python; familiarity with other languages is a plus.
- Practical experience with RDF, OWL, SPARQL, and SHACL.
- Experience with relational and graph databases (SQL, SPARQL).
- Hands-on experience with ontology/graph tools (e.g., Protégé, TopBraid).
- Solid understanding of data modeling, ETL processes, and data governance.
- Experience with cloud platforms (AWS preferred) and data services.
- Understanding of AI/ML concepts.
- Familiarity with CI/CD, agile practices, and infrastructure tools.
- Strong communication and problem-solving skills.
- Bonus: Understanding of healthcare ontologies (e.g., SNOMED-CT, LOINC).