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Data Engineer – AI, Agents, Context, Revenue Cycle
HuronData Engineer building AI context data capabilities at Huron. Join our team to optimize healthcare operations and improve clinical outcomes.
Posted 5/13/2026full-timeRemote • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $95,000 - $130,000 per yearWebsite
Tech Stack
Tools & technologiesCloudJavaPythonScalaSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonScalaJavadata engineeringdata modelingcloud data pipelinesunstructured data processingsearch conceptsretrieval concepts
Soft Skills
clear communicatorcollaborationcross-functional teamwork