Data Engineer - AI, Agents, & Context - Revenue Cycle (Associate)
Chicago - 550 Van Buren, United States
R
USD 95K-153K Senior-level Full Time
Tasks
- Apply RBAC ABAC
- Apply data contracts and context contracts
- Build AI context platform
- Build incremental refresh backfills reembeddings deduplication lineage
- Document datasets and indexes for reuse
- Implement PII redaction retention controls audit logging
- Implement end to end ingestion pipelines
- Implement parsing chunking enrichment embeddings vector indexing retrieval serving
- Implement semantic layers metrics entities
- Improve reliability and performance
- Improve retrieval quality query strategies hybrid search metadata filtering
- Monitor pipelines and respond to incidents
- Optimize cost and latency Snowflake and vector infrastructure
Perks/Benefits
Skills/Tech-stack
ABAC | Audit Logging | DBT | Data Governance | Data Modeling | Data Processing | Data pipeline | Embeddings | Hybrid search | Iceberg | Incident Response | Knowledge graphs | LLM Evaluation | Lakehouse | MTTR | Metadata filtering | Observability | PII Redaction | Python | RAG | RBAC | Reranking | Retrieval | Runbooks | SLO | SQL | Semantic Modeling | Semantic Retrieval | Snowflake | Unstructured Data | Unstructured Data Processing | Vector Search | Vector indexing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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