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

🔥 3 minutes ago

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Huron

5001 - 10000 employees

Founded 2002

🤝 B2B

🏢 Enterprise

💸 Finance

B2B • Enterprise • Finance

Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.

📋 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 • 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

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