Data Engineer (Neo4j/Cypher/Graphs)

Role overview

Build and evolve a knowledge graph that organizes legal, tax, accounting, and regulatory information for intelligent search and AI-assisted retrieval. You’ll translate conceptual models, taxonomies, and ontologies into practical graph structures, collaborating with data science, backend, and AI colleagues to support production systems, including retrieval-augmented generation workflows.

Responsibilities - Model and maintain graph data structures for large volumes of domain information. - Develop data engineering solutions using Neo4j and Cypher. - Connect concepts and entities to support semantic exploration and intelligent search. - Turn taxonomies, ontologies, and conceptual models into efficient graph representations. - Work with data science, backend, and AI teams to feed graph data into retrieval architectures. - Build solutions with attention to scalability, maintainability, and production use.

Requirements - Three to five years of experience, at a semi-senior level. - Practical experience with Neo4j, Cypher, and graph data modeling. - A solid foundation in data engineering and building production-ready systems. - Ability to translate conceptual data models into effective graph structures. - Interest in knowledge graphs and their use in AI-powered information retrieval.

Benefits and work setup - Full-time employment, fully remote from Argentina. - Work aligned with Argentina time (ART / UTC−3).