090L - Data Engineer (Neo4j / Graphs / RAG) · SemiSenior · Remoto · ARG
Buenos Aires, Argentina
R
USD 100K-100K (estimate) Senior-level Full Time
Tasks
- Build vector search indexes
- Create hybrid retrieval solutions
- Design graph data models
- Develop Neo4j ingestion pipelines
- Document data modeling decisions
- Implement Neo4j schemas
- Implement data quality checks on graphs
- Implement semantic chunking and embeddings
- Integrate graph services with Node.js and Python
- Monitor graph data consistency and integrity
- Optimize ETL and ELT flows
- Optimize query performance with EXPLAIN PROFILE and indexes
- Transform and validate data
- Use APOC and Neo4j GDS for graph analytics
- Write and optimize Cypher queries
Perks/Benefits
- 100 percent remote
- Birthday gift
- Discounts and benefits card
- English classes
- Healthy Break
- Learning platforms access
- Legal contract full time
- Paid vacation
- Personal days
- Referral program
- Team-building activities
- Welcome kit
Skills/Tech-stack
APOC | Chunking | Cypher | Docker | ELT | ETL | Embeddings | Grafana | GraphRAG | Hybrid retrieval | Kafka | Knowledge graph | Kubernetes | Multi-hop retrieval | Neo4j | Neo4j GDS | Node.js | Prometheus | Property Graph | Python | RAG | RabbitMQ | Semantic Search | Vector Search | Vector index
Education
N/A
Roles
Regions
Countries
States
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