8 часов назад
Graph Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Graph Data Engineer (AI) (Python/SQL/Knowledge Graphs): Building and scaling an ontology-grounded enterprise semantic map with an accent on automated metadata ingestion, graph database design, data lineage, and API integration. Focus on aligning heterogeneous data to enterprise ontologies, optimizing graph queries, enabling grounded AI-agent retrieval, and maintaining trusted provenance across a secure government data ecosystem.
Location: Arlington, VA, United States; on-site
Company
delivers AI, graph analytics, and mission-driven software engineering capabilities for the U.S. Government and Department of Defense.
What you will do
- Design, build, deploy, and operate automated pipelines that discover enterprise data assets and ingest technical metadata from legacy, cloud, and distributed environments.
- Align discovered data elements with enterprise and domain ontologies while preserving local naming conventions and resolving modeling conflicts.
- Design and maintain provenance and lineage chains that document data origins, transformations, ownership, classifications, and access constraints.
- Configure and optimize enterprise graph database structures and write reusable graph queries for retrieval, validation, and graph manipulation.
- Enable semantic search and grounded planning, research, and tool workflows for analysts, applications, and AI agents.
- Mentor junior engineers, document schema decisions and runbooks, and communicate technical choices to architects, program leaders, and government stakeholders.
Requirements
- Bachelor’s degree with 5+ years of relevant professional experience, or equivalent experience.
- Active TS SCI clearance required.
- Programming or scripting experience with Python, Java, or a comparable general-purpose language, plus SQL and structured or semi-structured data formats such as JSON, XML, or YAML.
- Experience with graph query languages such as Cypher or SPARQL and knowledge graph concepts including nodes, edges, relationships, and metadata schemas.
- Hands-on experience building and operating production data pipelines or ETL processes, including error handling, monitoring, and scheduling.
- Practical experience with graph database platforms and heterogeneous API and systems integration, with strong systems-thinking and stakeholder communication skills.
Nice to have
- Experience with RDF, OWL, SHACL, government or defense semantic models, and data lineage or metadata standards.
- Experience with LLM orchestration, retrieval-augmented generation, or graph-grounded agentic workflows.
- Experience with data catalogs, stewardship systems, workflow orchestration, cloud data platforms, containers, and CI/CD.
- Defense, intelligence community, or other regulated enterprise data experience.
Culture & Benefits
- Mission-driven work supporting national security and Department of Defense data transformation.
- Collaboration across graph, data, engineering, AI, architecture, and government stakeholder groups.
- Opportunity to build secure, scalable capabilities for analysts, applications, and autonomous AI agents.
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