USD per year
Senior Data Engineer - Ezra
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. You will be working closely with the Data team and AI engineering team and reporting to Radhika Tibrewala 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
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. Who you are You are an experienced data engineer who enjoys building systems that scale and last. You’re comfortable working across a wide range of data types and tools, and you approach complex problems with curiosity and pragmatism. You’re collaborative, thoughtful, and proactive, with a strong sense of ownership and care for the people who depend on the data you build. Ideally, you come from data engineering or software background in healthcare, biotech, or other high-trust data environments. Key requirements
- 5+ years of experience in data engineering,
ETL development, or cloud-based data orchestration.
- 3+ 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.
Function Health is a healthcare technology company focused on empowering individuals to live 100 healthy years by providing deep awareness of their health through routine whole-body lab testing, advanced imaging, and access to top doctors. The company aims to remove complexity in healthcare, place exponential health technology in users' hands, and prioritize privacy. It is mission-driven to democratize proactive health management and enable people to avoid disease and feel their best.
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