Graph Data Engineer

Domain Knowledge: Telecom network architecture| Service Fulfilment (Provisioning and Activation) OSS/BSS integration| CMDB| network inventoryEvent-driven and real-time data architectures (Kafka| REST APIs) Essential Skills: Technical: SPARQL| RDF| OWL| semantic web technologies Graph databases (e.g.| Stardog| Neo4j)SQL| Python| JavaScript for data processing and visualization EXFO Ontology Required Skills Technical: SPARQL, RDF, OWL, semantic web technologies Graph databases (e.g., Stardog, Neo4

We are seeking a Senior AI Engineer with deep expertise in semantic web technologies to act as the strategic bridge between business stakeholders (Data Governance, Enterprise Architecture, AI/Analytics teams) and technical implementation teams. In this role, you will design, build, and operationalize enterprise semantic and data foundations, translating complex business terminology, metadata requirements, and domain concepts into structured ontologies, knowledge graphs, and scalable data pipelin

Job Description Summary The Senior Data Engineer designs and builds the AWS-native data foundation behind our enterprise AI applications - knowledge graphs, semantic layers, retrieval corpora, and the pipelines that keep them trustworthy. This role leads both the design strategy for how our AI systems understand enterprise data and the hands-on engineering to make it real. You will set the patterns the rest of the team - including citizen developers building with Agents and MCPs - follow when th

Analytica is seeking a Senior Graph Database Developer to support a highly complex critical federal program requiring advanced graph-based data engineering and analytics capabilities. The ideal candidate will lead the design, development, and optimization of graph data models and associated ETL pipelines, supporting large-scale structured and unstructured datasets. This role requires deep expertise in graph database technologies, data modeling, and ETL processes, as well as the ability to collab