Implementation Engineer
Core
Lead end-to-end technical implementations of AI-powered healthcare solutions for hospitals, focusing on optimizing patient flow, reducing length of stay, and driving surgical growth.
Role type
Senior Implementation Engineer (Healthcare Data & AI)
Builds
Scalable data pipelines, custom EHR integrations, and clinical workflow configurations for inpatient and surgical operations.
Domain
Healthcare operations, Hospital IT, AI/ML workflows
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Java, C/C++, Data Warehouse (Snowflake, Databricks, BigQuery, Redshift), EHR Integration, Data Migration, Root Cause Analysis, Technical Training
Preferred skills
HL7/FHIR standards, Integration Middleware (Mirth, Rhapsody), Infrastructure as Code (Terraform, Ansible), dbt, Looker, AWS
Technologies
Snowflake, Databricks, Azure, BigQuery, Redshift, RDS, AWS, Epic, Cerner, Meditech, Mirth, Rhapsody, dbt, Terraform, Looker, Ansible
Responsibilities
Translate hospital requirements into technical specifications and configuration plans; validate clinical data sources and manage data integrity; execute data migrations from legacy systems; resolve data interoperability issues and pipeline failures; develop monitoring mechanisms and automated alerts; deliver technical training to customer teams; participate in technical architecture discussions for system integrations.
Seniority
Senior, hands-on IC
