Data Engineer – AI, Agents, Context – Revenue Cycle (Associate)

Posted 12hrs ago

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Job Description

Data Engineer developing and maintaining AI/context data capabilities for healthcare innovation. Building data pipelines and collaborating to enhance operational efficiency and clinical outcomes.

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
  • 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

Requirements:

  • Bachelor's Degree in computer science, engineering, or related field of study
  • 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:

  • Medical, dental and vision coverage
  • 401(k) plan with employer match
  • Employee stock purchase plan
  • Generous Paid Time Off policy
  • Paid parental leave and adoption assistance
  • Wellness Program with annual health screenings and coaching
  • On-site workshops and major event recognitions