The Role
Design and operate scalable, cloud-native data pipelines and orchestration systems for imaging, biomarker, and healthcare data. Build Databricks and distributed processing workflows, integrate DICOM data into data lakes, and implement validation, observability, monitoring, and fault tolerance. Collaborate with data science, AI, R&D, product, and data management teams to deliver secure, compliant, reliable data for analytics and machine learning.
Summary Generated by Built In
Our mission
Your mission
As the Data Engineer you will:
Who you are
Key requirements
What’s in it for you?
Why You'll Love Working With Us:
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.
- 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.
- 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.
As the Data Engineer, you have the opportunity to be an early employee at Ezra and work with an all-star team focused on detecting cancer early for everyone in the world. You’re also going to have access to benefits such as:
- Stock options
- Comprehensive health, dental and vision plans for your and your family
- Wellness and commuter benefits
- Competitive vacation policy
- A culture that emphasizes learning
Why You'll Love Working With Us:
We value our team and offer a competitive salary and benefits package, flexible working hours, and a dynamic work environment where creativity and innovation are encouraged. If you are a highly motivated and experienced individual who is passionate about using technology to improve people’s lives, we would love to hear from you.
We celebrate diversity and are committed to building an inclusive and equitable workforce. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, sex (including gender identity and sexual orientation), national origin, age, disability, veteran status, marital status, ancestry, or any other characteristic protected by applicable law.
Join our team and become a part of our mission to revolutionize healthcare. Work with us to make a difference in the lives of thousands, ensuring a healthier future for all. Discover more about us and how we're changing the face of healthcare at Function Health.
Important Notice: Legitimate communication from the Function Health team will always come from an email address ending in @functionhealth.com. Function Health will never request personal information such as banking details or payment during the hiring process. Please be cautious of communications or job offers that come from other email domains, instant messaging platforms, or unsolicited calls. If you ever have doubts about the legitimacy of a communication, please reach out to us directly at [email protected].
Skills Required
- 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 holding a PhD or having published research
- Strong proficiency in Python and SQL
- Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or similar
- Experience with cloud platforms and services
- Experience building on Databricks and using distributed processing frameworks such as Apache Spark, Dask, or similar
- Understanding of data validation, observability, testing, and production best practices
- Experience with healthcare, imaging, or PHI-sensitive data
- Strong communication and documentation skills, with comfort working across technical teams
Function Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Function Health and has not been reviewed or approved by Function Health.
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Leave & Time Off Breadth — Time off includes open/flexible PTO and 13 company holidays, offering substantial breathing room. Feedback suggests these policies support work-life balance for a scaling startup.
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Retirement Support — A company 401(k) match is part of the package, adding long-term financial support. Feedback suggests this materially strengthens total rewards beyond base pay.
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Healthcare Strength — Comprehensive health insurance options for employees and their families are explicitly highlighted. Feedback suggests medical coverage is a core strength of the offering.
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The Company
What We Do
One mission—empowering you to live 100 healthy years. Starting with 100+ lab tests and insights from medical experts in heart, hormones, cancer, and more
