Semantic Platform Engineer: Knowledge Graphs & Ontologies

Experis Technology Group; Boston (MA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Area

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

401(k) Plus Match

Weekly Pay

Job summary

Experis Technology Group in Boston, MA seeks a Semantic Platform Engineer to join the Engineering team, supporting the Semantic Platform and Data Integration effort. The role requires hands-on RDF/OWL development and building semantic layers from business requirements into production solutions.

The engineer will work with Azure, Databricks, containers, and CI/CD, delivering portable deployments and a testable ontology workflow for analytics and diagnostics.

Qualifications

• 4+ years building knowledge graphs, ontologies, or semantic data platforms in production.
• Hands-on RDF/OWL development and SHACL conformance experience.
• Proficient in Python for data workflows and CI/CD practices.

Responsibilities

• Deploy and maintain a semantic repository shared by partner teams.
• Build data pipelines loading resolved data into the repository on Azure with Databricks.
• Keep deployments portable using containers and IaC for cloud mobility.
• Expose graph endpoints for diagnostics and monitor query performance.
• Treat ontology and mappings as code with versioning, tests, and CI.

Skills

Knowledge graphs

Ontology development

RDF/OWL

SPARQL

Python

CI/CD

Git

Tools

GraphDB

Stardog

RDFox

Databricks

Azure

Job description

Experis Technology Group in Boston, MA seeks a Semantic Platform Engineer to join the Engineering team, supporting the Semantic Platform and Data Integration effort. The role requires hands-on RDF/OWL development and building semantic layers from business requirements into production solutions.

The engineer will work with Azure, Databricks, containers, and CI/CD, delivering portable deployments and a testable ontology workflow for analytics and diagnostics.