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