Senior Platform Data Engineer
USD 180K-248K (estimate) Senior-level Full Time
Tasks
- Administer Feature Store
- Administer user group management and access control
- Administer vector database for retrieval
- Build and manage RAG retrieval infrastructure
- Build hybrid retrieval pipelines
- Configure Databricks workspace and Unity Catalog governance
- Curate shared clinical feature tables
- Design and operate document ingestion pipelines
- Establish data quality gates for RAG
- Implement chunking strategies for healthcare content
- Manage clusters compute and cost monitoring
- Manage embedding model pipeline
- Monitor retrieval quality metrics and optimize
- Own platform data roadmap and architecture reviews
- Stream clinical data into Databricks
Perks/Benefits
- Collaborative work environment
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
- Work from home
Skills/Tech-stack
Access Control | Apache Kafka | BM25 | Batch ETL | Data Governance | Data Lineage | Data Quality | Databricks | Databricks Vector Search | Delta Live Tables | Delta Live) | Embedding Models | Feature Store | Hybrid search | MRR | Metadata Management | Pandas | Pinecone | PrecisionAtK | PySpark | Python | Qdrant | RAG | RecallAtK | Reranking | SQL | Spark Structured Streaming | Streaming ETL | Structured Streaming | Unity Catalog | Vector Databases | Vector Search | Weaviate
Education
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