AI Data Integration Engineer

📋 Description

• Build data models and source-to-target mapping specs from Practice Management (PM) systems such as
• Use AI/LLM tools to speed up schema mapping, field reconciliation and data quality checks
• Design and build ETL pipelines and REST/SOAP APIs to move data into the new platform
• Cleanse, structure and enrich source data into the required target format
• Monitor, troubleshoot and resolve integration issues in production
• Work closely with the AI Architect, product, engineering and operations teams

🎯 Requirements

• Minimum of 5 years of experience in data/system integration or ETL engineering, building production
• Hands-on experience using AI/LLM APIs (such as OpenAI or Azure OpenAI) for schema mapping, entity
• Strong SQL skills and experience with relational databases
• Working knowledge of Python and JavaScript (or similar scripting languages)
• Experience building REST and SOAP APIs and working with JSON, XML, CSV, flat-file and EDI formats
• Understanding of HIPAA and PHI security practices