Senior Data Engineer - Graphs

Senior Data Engineer - Knowledge Graphs

Job Location s: US-NJ-Basking Ridge | US-NJ-Woodbridge | US-NJ-Red Bank

Requisition :

Position Category:
Information Technology

Clearance:
No Clearance Required

Peraton Labs is seeking a Senior Data Engineer to help design, build, and operationalize the data foundations supporting advanced AI-enabled capabilities. This role will focus on transforming complex structured and unstructured information into graph-aware, semantically meaningful data products that can support analytics, reasoning, retrieval, and agentic workflows.

We are looking for a candidate who combines strong data engineering execution with meaningful experience in knowledge graphs, semantic representations, NLP-derived structure, and graph-based analysis. This may come from a traditional data engineering background with hands‑on knowledge graph experience, or from a research-oriented knowledge graph / semantic systems background paired with proven implementation ability.

The ideal candidate for this role should be comfortable working across data pipelines, semantic modeling, graph representations, and AI-enabled data architectures. You should be comfortable moving between concept and implementation, helping shape how knowledge is extracted, structured, linked, and made usable for downstream AI systems.

• Design, build, and maintain scalable data pipelines supporting graph-based and AI-enabled workflows
• Develop data models and processing approaches that transform raw structured and unstructured data into semantically meaningful graph-oriented representations
• Contribute to the creation, enrichment, and operationalization of knowledge graphs supporting retrieval, reasoning, entity relationships, and advanced analytics
• Support ingestion, normalization, linking, and transformation of data into graph-compatible formats such as RDF and related semantic representations
• Apply experience in areas such as NLP, AMR, UMR, semantic parsing, graph analysis, or ontology-informed data modeling to improve how information is structured and connected
• Build data pipelines and engineering workflows that support graph-centric applications, including AI-enabled search, contextual retrieval, and decision support
• Partner with AI/ML, platform, and software engineering teams to ensure graph and semantic data assets are usable within production-oriented systems
• Help define approaches for entity resolution, relationship extraction, semantic enrichment, metadata management, and graph quality validation
• Contribute to architectures that support agentic AI workflows by enabling richer data context, structured memory, and relationship-aware information access
• Work with a mix of structured, semi-structured, and unstructured data sources to improve interoperability and downstream usability
• Support graph analysis and exploration efforts that inform system design, data relationships, and capability development
• Ensure data engineering solutions are maintainable, scalable, and aligned to operational and mission needs
• Document data flows, graph models, transformation logic, and engineering decisions clearly for technical stakeholders

• Minimum of BS with 12+ years of experience, MS with 10+ YoE, or PhD with 7+ YoE in data engineering, knowledge graph engineering, semantic systems, NLP-enabled data processing, or related technical roles
• Strong hands‑on experience building and maintaining data pipelines in modern engineering environments
• Demonstrated experience with knowledge graphs, graph data models, or semantic data architectures
• Experience with in one or more of the following areas: RDF, graph analysis, semantic representation, ontology-informed data modeling, AMR, UMR, or NLP-driven structured extraction
• Strong hands‑on experience with Python, JavaScript/Type Script, and SQL for data transformation and pipeline development, plus familiarity with graph and semantic tooling such as Neo4j/Neptune/GraphDB platforms
• Experience working with both structured and unstructured data in support of downstream analytics or AI/ML use cases
• Ability to…