Data/AI Engineer
Core
Design and deliver data and AI solutions for healthcare platforms, transforming EMR, claims, and clinical note data into actionable insights using modern data analytics and generative AI.
Role type
Senior individual contributor Data/AI Engineer
Builds
Production data platforms (Lakehouse/SQL Server) and AI capabilities (NLP, RAG, LLM extraction) for healthcare providers and stakeholders.
Domain
Healthcare data engineering and AI/ML
Deliverable
production ML models | product features
Required skills
Data engineering (Databricks, Snowflake, PySpark, Delta Lake), SQL (T-SQL), NLP/NLU, LLM/RAG implementation, agentic frameworks, healthcare data compliance (HIPAA), performance tuning, CI/CD, technical leadership
Preferred skills
Master's degree, experience with agentic frameworks, AI-assisted development tools
Technologies
Databricks, Snowflake, Azure, GCP, AWS, PySpark, Spark SQL, Delta Lake, T-SQL, Azure DevOps, GitHub Actions, Claude Code, Codex
Responsibilities
Own projects end-to-end from problem framing to production deployment; Develop medallion architecture and T-SQL ETL pipelines; Design and build NLP/NLU and RAG systems; Apply AI solutions to EHR/EMR, pharmacy, and claims data; Drive 0-to-1 initiatives and prototype novel approaches; Mentor mid-level engineers; Partner with cross-functional teams to translate requirements into robust systems.
Seniority
Senior, hands-on IC with technical leadership
