090L - Data Engineer (Neo4j / Graphs / RAG) · SemiSenior · Remoto · ARG
Buenos Aires, Argentina
R
USD 100K-100K (estimate) Senior-level Full Time
Tasks
- Define data quality validations and monitoring
- Design and maintain Neo4j property graph models
- Develop ETL and ELT workflows for graph data
- Document modeling decisions and tradeoffs
- Generate embeddings and indexing for semantic retrieval
- Implement and optimize Neo4j ingestion pipelines
- Implement hybrid retrieval using graph search and vector search
- Integrate graph services with Node.js or Python
- Support scalable graph search systems
- Transform ontologies and taxonomies into graph schemas
- Tune query performance using indexes and constraints
- Write and optimize advanced Cypher queries
Perks/Benefits
- 100 percent remote
- Birthday gift
- Discounts
- Employee benefits card
- English classes
- Healthy Break
- Learning platforms access
- Legal licenses
- Paid time off
- Personal days
- Referral program
- Team-building activities
- Welcome kit
Skills/Tech-stack
APOC | Chunking | Computer Vision | Cypher | Data Modeling | ELT | ETL | Embeddings | Grafana | Graph Search | GraphRAG | Hybrid retrieval | Kafka | Knowledge graphs | Kubernetes | Multi-hop retrieval | NLP | Neo4j | Neo4j GDS | Node.js | OWL | Prometheus | Property Graph | Python | RAG | RDF | RabbitMQ | SKOS | Semantic Search | Shacl | Vector Search | Vector index
Education
N/A
Roles
Regions
Countries
States
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