Junior Graph Data Engineer (AI)

Location: Arlington, VA, United States; on-site

Company

hirify.global helps the U.S. Government and Department of Defense transform data into operational capabilities through artificial intelligence, graph analytics, mission-driven software engineering, and agile delivery.

What you will do

• Build and support automated pipelines that discover enterprise data assets and ingest technical metadata from legacy, cloud, and distributed environments.
• Capture data origins and maintain provenance and lineage metadata as data moves through systems.
• Align discovered data elements with enterprise and domain ontologies while preserving local naming conventions.
• Configure and maintain enterprise graph database structures and develop basic graph queries for retrieval, validation, and graph manipulation.
• Connect data assets with mission, ownership, classification, handling, and access metadata.
• Support AI engineers in enabling planning, research, and tool agents to query the graph and produce grounded retrieval and reasoning.

Requirements

• Bachelor’s degree with at least one year of relevant professional experience, or equivalent experience.
• Active TS/SCI clearance required.
• Foundational proficiency in programming or scripting for automation, such as Python, Java, or a comparable general-purpose language.
• Experience or foundational knowledge of relational database querying, structured and semi-structured formats such as JSON, XML, and YAML, and knowledge graph concepts.
• Basic understanding of data structures, databases, data pipelines, and ETL processes.
• Ability to document work, explain technical decisions, collaborate with senior engineers, and understand broader enterprise data systems.

Nice to have

• Exposure to Cypher, SPARQL, graph database platforms, data lineage specifications, metadata management frameworks, or data catalogs.
• Conceptual or practical experience with LLM orchestration, agentic workflows, or AI frameworks.
• Familiarity with government or defense semantic models, data stewardship systems, and workflow orchestration tools.