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 Neo4j ingestion pipelines
- Define data quality validation and monitoring practices
- Design and maintain Neo4j data models
- Document modeling decisions and technical trade offs
- Implement ETL and ELT flows for graph updates
- Implement chunking embeddings and semantic indexing
- Integrate Neo4j with Node.js or Python services
- Optimize query performance using explain profile and indexing
- Perform hybrid retrieval using graph search and vector search
- Translate ontologies and taxonomies into graph schema
- Write and optimize Cypher queries with APOC and GDS
Perks/Benefits
- Benefit discounts
- Birthday gift
- English classes
- Healthy Break
- Learning platforms access
- Paid time off
- Personal days
- Referral program
- Remote work
- Team-building activities
Skills/Tech-stack
APOC | Chunking | Computer Vision | Constraints | Cypher | ELT | ETL | EXplain | Embeddings | Grafana | GraphRAG | Hybrid retrieval | Indexing | Kafka | Knowledge graph | Memory tuning | Multi-hop retrieval | NLP | Neo4j | Neo4j GDS | Node.js | Page cache | Profile | Prometheus | Property Graph | Python | RAG | RabbitMQ | Semantic Search | Vector Search
Education
N/A
Roles
Regions
Countries
States
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