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. This semi-senior data engineering role translates conceptual models, taxonomies, and ontologies into scalable graph structures, in close collaboration with data science, backend, and AI colleagues.

Responsibilities - Model and maintain graph data structures using Neo4j and Cypher. - Develop data engineering components that connect and organize large volumes of domain information. - Turn conceptual models, taxonomies, and ontologies into efficient graph schemas. - Support semantic discovery and intelligent search across related information. - Prepare graph data to serve retrieval-augmented generation (RAG) systems. - Collaborate with data science, backend, and AI teams to deliver production-ready solutions.

Requirements - Around 3–5 years of relevant experience, consistent with a semi-senior level. - Practical experience with Neo4j and Cypher. - Knowledge of graph data modeling and core data engineering practices. - Ability to build solutions that are scalable, maintainable, and suitable for production. - Comfortable working across disciplines to turn domain concepts into usable data structures.

Benefits and work setup - Full-time, fully remote role for candidates based in Argentina. - Work is aligned with Argentina time (ART, UTC−3). - The engagement is described as an employment relationship.