Data Engineer

Function Health is a healthcare company focused on empowering people to live longer, healthier lives through proactive, data-driven healthcare. The Data Engineer will design, build, and scale secure, compliant data infrastructure and pipelines for imaging, biomarker, analytics, and AI systems. The role will also support orchestration, validation, monitoring, ingestion, transformation, and accessibility of healthcare data.

Responsibilities:

• 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 data validation, observability, and monitoring systems for production pipelines
• Collaborate with data science, ML, and product teams to ensure data reliability and accessibility
• Support automated ingestion, transformation, cataloging, and access patterns for downstream analytics and ML use cases

Requirements:

• 1-2+ years of experience in data engineering, ETL development, or cloud-based data orchestration
• 1-2+ years of experience in data science, analytics, or applied research, IF hold a PHD/published research
• Strong proficiency in Python and SQL
• Hands-on experience with workflow orchestration tools (Airflow, Prefect, or similar)
• Experience with cloud platforms and services (AWS, Azure, GCP familiarity is a plus)
• Experience building on Databricks and working with distributed processing frameworks (Apache Spark, Dask, or similar)
• Solid understanding of data validation, observability, testing, and production best practices
• Experience with healthcare, imaging, or PHI-sensitive data is a strong plus
• Strong communication and documentation skills; comfortable working across technical teams
• Ideally, you come from data engineering or software background in healthcare, biotech, or other high-trust data environments