Semantic Platform Engineer

Experis Technology Group; Boston (MA); Presencial; USD 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Knowledge graphs

Ontology development

RDF/OWL

SPARQL

Python

CI/CD

Git

Herramientas

GraphDB

Stardog

RDFox

Databricks

Azure

Descripción del empleo

Our client is seeking a Semantic Platform Engineer to join their team. As a Semantic Platform Engineer, you will be part of the Engineering organization supporting the Semantic Platform and Data Integration effort. The ideal candidate will have hands‑on RDF/OWL development, strong semantic layer implementation, and the ability to translate business requirements into production‑ready solutions which will align successfully in the organization.

Job Title:

Semantic Platform Engineer

Location:

Boston, MA (100% onsite; remote may be considered for strong niche skills)

What's the Job?

• Deploy a reused ontology engine and maintain a single semantic repository shared by partner teams.
• Build and run data pipelines that load resolved data into the repository on Azure alongside existing CBM analytics in Databricks.
• Keep deployments portable using containers and infrastructure as code so the solution can move to another cloud without redesign.
• Expose the graph to diagnostic agents through documented, read‑only query endpoints and measure query performance.
• Treat ontology and mappings as code: version, test (competency questions as SPARQL tests and SHACL conformance), and execute in CI.

What's Needed?

• 4+ years building knowledge graphs, ontologies, or semantic data platforms used in production.
• Hands‑on experience with RDF/RDFS, OWL 2, SPARQL 1.1, and SHACL.
• Strong Python skills (e.g., rdflib, pySHACL or similar), plus git and CI practices.
• Experience deploying and operating an RDF triple store or reasoner (e.g., GraphDB, Stardog, RDFox, Apache Jena/Fuseki).
• Azure experience with containers, infrastructure as code, and CI/CD, including working with Databricks.

What's in it for me?

• Work on an AI‑driven service that turns condition‑based maintenance analytics into normalized health scores, contextual diagnostics, and prioritized action plans for critical data center power equipment.
• Build semantic layers that provide diagnostic agents with the asset and relationship context they need (connections, dependencies, and site placement).
• Deliver production‑ready semantic solutions with minimal ramp‑up time in a focused, execution‑driven environment.
• Own end‑to‑end implementation details: pipelines, repository deployment, query endpoints, testing, and documentation.
• Contribute to a code‑driven ontology workflow with CI testing using competency questions and SHACL conformance.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay