HealthyMe Ai

About the Role We are seeking a Senior Data Engineer with deep expertise in building data pipelines and integrating healthcare data. You will report to the Head of AI and Engineering and be responsible for designing, building, and operating the backbone of our AI-powered applications. This is a critical role where you will create scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference. You will work in close collaboration with software engineers, ML specialists, and our clinical partners to bring our vision to life. What you’ll do Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows. Integrate with EHR/EMR systems (e.g., Epic) using standards such as FHIR and HL7 . Develop reliable systems to ingest, track, and update clinical events in real-time Ensure downstream ML systems receive high-quality, structured data for inference and decision support. Establish observability, monitoring, and error handling for robust pipeline performance. Collaborate with ML engineers to align data flows with model needs (e.g., document ingestion, embedding storage, inference triggers). Continuously improve pipeline design to maximize scalability, resilience, and automation . What we’re looking for 5+ years of experience building and maintaining production-grade data pipelines. Strong background in workflow orchestration and event-driven systems. Proficiency with relational databases and SQL (e.g., Postgres) as well as handling unstructured data. Experience operating in cloud environments and working with distributed, highly available systems. Track record of delivering data infrastructure that supports ML or analytics applications . Excellent communication and collaboration skills; able to drive projects independently while working as part of a cross-functional team. Bonus Knowledge of HIPAA and healthcare data security/privacy requirements . Familiarity with FHIR/HL7 data modeling in production settings. Experience supporting machine learning inference pipelines in real-world applications. Expertise with image data Exposure to vector databases, embedding stores, or document retrieval systems . Background in healthcare IT, clinical workflows, or health data analytics.