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We are seeking a skilled and motivated Sr. Semantic Web Engineer to join our team. In this role, you will work on advanced knowledge graph technologies, combining expertise in semantic web engineering, data modeling, and cloud-based solutions. You will collaborate closely with a team of scientists, developers, and architects to design and implement scalable semantic web applications that support healthcare data intelligence. This is an excellent opportunity for someone with strong engineering skills and a passion for applying semantic technologies to real-world challenges in a dynamic and fast-growing environment.
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.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
