Data Engineer - Ai, Agents, Context, Revenue Cycle

Job Description: 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 Apply established data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations) 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: Medical, dental and vision coverage 401(k) plan with a generous 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