Lead Semantic Web Engineer

  • Posted 14 hours ago | Updated 2 hours ago

Overview

Remote
Accepts corp to corp applications
Contract - long term

Skills

Data Modeling
Java
Python
Amazon Web Services
Terraform
C#
Javascript
Git
SQL
Database Modeling
Jenkins
ETL
Continuous Integration/Delivery
Azure Devops
Data Services
Data Governance
clojure
Neo4j
Problem-Solving
Semantic
ICD
Semantic Web
OWL
Virtuoso

Job Details

Lead Semantic Web Engineer

Experience: 5+ Years

Location: Remote

What is in it for you?

As a Lead Semantic Web Engineer, you will be at the forefront of building advanced knowledge graph solutions using Amazon Neptune, Metaphactory, and semantic web technologies to enable intelligent, cloud-native data ecosystems.

Skills:

Mandatory Skills:

  • Semantic web or knowledge graph engineering

Good to Have Skills:

  • Python and familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus

Responsibilities:

  • 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.

Educational Qualifications:
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

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