090L - Data Engineer (Neo4j / Graphs / RAG) · SemiSenior · Remoto · ARG
Buenos Aires, Argentina
R
USD 100K-100K (estimate) Senior-level Full Time
Tasks
- Build and optimize ingestion pipelines to Neo4j
- Define data quality validations and graph monitoring
- Design Neo4j data models
- Document modeling decisions and technical trade offs
- Generate embeddings and configure semantic retrieval
- Implement ETL ELT flows for load transform validate
- Implement hybrid retrieval using graph search and vector search
- Integrate Neo4j with backend services in Node.js or Python
- Optimize Neo4j performance using indexes and constraints
- Translate ontologies and taxonomies into graph schema
- Write and optimize Cypher queries using APOC and subqueries
Perks/Benefits
- 100 percent remote
- Benefit discounts
- Birthday gift
- English classes
- Healthy Break
- Learning platform access
- Paid time off
- Personal days
- Team building events
Skills/Tech-stack
APOC | Cypher | Data Science | ELT | ETL | Embeddings | Graph Data | Graph Data Science | Graph Search | GraphRAG | Hybrid retrieval | Knowledge graphs | Multi-hop retrieval | Neo4j | Neo4j Vector Index | Node.js | PageRank | Property Graph | Python | RAG | Semantic Search | Vector Search | Vector index
Education
N/A
Roles
Regions
Countries
States
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