Data Engineer – AI, Agents, Context, Clinical – Senior Associate
Posted 12hrs ago
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Job Description
Data Engineer contributing to healthcare AI context platform at Huron. Implementing data products and ensuring operational excellence in a remote role.
Responsibilities:
- Build and contribute to the AI context platform
- Implement end-to-end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving
- Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources
- Contribute to retrieval quality improvements (query strategies, hybrid search, metadata filtering) in partnership with AI engineers
- Deliver semantic and governed data products
- Implement semantic layers (metrics/entities) that power BI and agent reasoning consistently
- Ensure datasets and indexes are documented and reusable
- Support reliability and performance across assigned workstreams: monitoring, alerting, runbooks, and incident response
Requirements:
- BA or BS required, preferably in Computer Science, Engineering, or a technology-based discipline
- 3–6 years in data engineering or data platform roles with strong hands-on delivery
- Strong SQL and Python (or Scala/Java); solid production engineering habits
- Experience designing and operating cloud data pipelines at scale
- Experience working with unstructured data processing and search/retrieval concepts
Benefits:
- Medical, dental, and vision coverage
- 401(k) plan with generous employer match
- Employee stock purchase plan
- Generous Paid Time Off policy
- Paid parental leave and adoption assistance
- Wellness Program supporting total well-being

















