Data Engineer

US - Remote • Canada - Remote Medical Intelligence Lab Remote Full-time ### Our mission

Function Health’s mission is to empower people to live longer, healthier lives through proactive, data-driven healthcare. We aggregate and analyze comprehensive health data - including imaging, laboratory results, longitudinal biomarkers, and other health signals - to deliver clear, clinically meaningful insights.

We believe individuals should understand their health deeply, in context, and over time. Our platform brings together complex medical data and transforms it into trustworthy, actionable information that supports better health decisions.

### Your mission

As a Data Engineer, you will design, build, and scale the core data infrastructure that powers Function Health’s imaging, analytics, and AI ecosystems. You’ll work closely with the Data, AI, and R&D teams to orchestrate secure, reliable, and compliant pipelines across a wide range of healthcare data types.

This role focuses on building robust orchestration and cloud-native data systems (Airflow, AWS, Databricks) that support high-volume, heterogeneous datasets — from DICOM imaging to biomarkers, reports, and other structured and unstructured health data. You’ll help ensure that these systems are performant, scalable, and production-ready as our platform and data footprint continue to grow.

### As the Data Engineer you will:

• Design and operate scalable data pipelines and orchestration systems supporting imaging and biomarker data (e.g., Airflow, cloud services, distributed compute platforms).
• Contribute to PHI-safe, compliant data infrastructure aligned with healthcare standards (HIPAA, GDPR, etc.).
• Enhance performance and fault-tolerance across distributed data workflows.
• Partner with the data management lead to integrate DICOM and data pipelines into the broader data lake and analytics stack.
• Implement robust