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Huron is seeking a Data Engineer for their AI, Agents, & Context - Revenue Cycle team to develop and maintain core AI context data capabilities within the healthcare sector. The ideal candidate will have strong technical skills in data engineering, particularly with unstructured data processing and cloud data pipelines, and will work collaboratively to enhance innovation and operational efficiency.
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Job Summary
This role is a hands-on technical contributor building core AI and context data capabilities within a strategic investment to embed AI into healthcare operations.
The position involves implementing end-to-end pipelines that transform structured and unstructured information into trusted, reusable building blocks for product innovation.
Candidates must apply security-by-design patterns including PII redaction and audit logging while ensuring datasets are documented and governed across the enterprise.
Matching Summary
Match Score: 75
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Huron is seeking a Data Engineer for their AI, Agents, & Context - Revenue Cycle team to develop and maintain core AI context data capabilities within the healthcare sector. The ideal candidate will have strong technical skills in data engineering, particularly with unstructured data processing and cloud data pipelines, and will work collaboratively to enhance innovation and operational efficiency.
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Salary
Base: $95,000 - $130,000 USD; Incentive: Eligible for annual incentive program; Total Est: $106,400 - $153,400 USD
Skills & Requirements
Must-have
3-6 years data engineering experience
Strong SQL and Python programming skills
Snowflake pipeline design and data modeling
Unstructured data processing and retrieval
Cloud data pipeline operations at scale
Nice-to-have
Vector search and embeddings experience
LLM application support with RAG patterns
Knowledge graphs and semantic modeling
Regulated environment data governance
Collaborative stakeholder communication style
Key Requirements
3–6 years in data engineering or data platform roles