Data Engineer - AI, Agents, & Context - Revenue Cycle (Associate)

This role is a hands-on technical contributor within a strategic investment to embed AI into healthcare operations, focusing on building and maintaining core AI/data capabilities such as unstructured data ingestion, embeddings, retrieval, and semantic layers. The position involves executing key parts of the AI context platform, working closely with senior engineers and cross-functional partners to deliver reliable, production-grade AI data products.

Location: United States of America

Salary: $95,000 - $130,000 USD (base), $106,400 - $153,400 USD (total with incentive)

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
• Implement semantic layers (metrics/entities) that power BI and agent reasoning consistently
• Apply established data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)
• Ensure datasets and indexes are documented and reusable
• Support reliability and performance across assigned workstreams: monitoring, alerting, runbooks, and incident response
• Contribute to cost and latency optimization across Snowflake and vector infrastructure
• Apply security-by-design patterns: RBAC/ABAC, PII redaction, retention controls, and audit logging
• Follow established guardrails for AI access to enterprise knowledge in coordination with Security/Legal/Compliance

Requirements

• 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
• Hands-on experience with Snowflake, including pipeline design, data modeling, and operating at scale in a production environment
• Experience designing and operating cloud data pipelines at scale
• Experience working with unstructured data processing and search/retrieval concepts
• Clear communicator who can work effectively across technical and functional teams

Benefits

• Participation in Huron’s annual incentive compensation program
• Medical, dental, and vision coverage
• Other wellness programs

Additional Information

• Ability to travel as needed up to 4 times per year.
• The estimated base salary is $95,000 - $130,000 USD, with total estimated compensation including incentives ranging from $106,400 - $153,400 USD.
• Position level: Associate
• Country: United States of America