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Senior Data Engineer

Healthie

51-200

United States

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About the job

Overview:

Healthie’s Mission
Healthie powers virtual-first care delivery, improving access to healthcare and enabling better healthcare outcomes through technology.

We build infrastructure that all healthcare organizations need to perform virtual-first care. Our platform, which includes EHR, scheduling, and patient engagement solutions, empowers organizations of every size to build, customize, and scale their business.

Today, we support thousands of organizations—from small private practices to multi-billion-dollar healthcare companies. With Healthie, our customers deliver care to millions of patients across the full spectrum of healthcare services, from preventative health and wellness to complex chronic care management.

We believe the future of healthcare delivery is virtual-first, longitudinal, and collaborative. Learn more at: https://www.gethealthie.com.

About the Role

We’re hiring a Senior Data Engineer to lead the design, development, and scaling of our data migration and integration pipelines — critical systems that support onboarding new enterprise customers and enable seamless interoperability with external platforms.

In this role, you’ll own the architecture and implementation of core ETL workflows that ingest, transform, and validate complex healthcare data from other systems. You’ll work closely across engineering and customer success teams to automate and streamline these processes, ensuring data quality, scalability, and compliance.

Your work will be central to improving customer onboarding speed, reducing manual effort, and expanding Healthie’s ability to empower our diverse and growing customer base.

Details, details

This is a full-time remote position
Must be located in the U.S. and U.S. work authorization is required.
The salary range is $160,000 - $180,000 per year + annual company bonus and benefits
About you
You have 6+ years of engineering experience, with strong backend skills in Ruby or a similar language
You’re proficient in SQL and relational databases (PostgreSQL preferred)
You’ve built production-grade, fault-tolerant ETL pipelines at scale
You’re skilled at transforming messy, inconsistent data into clean, performant systems
You think beyond one-off scripts — you build reusable, automated tools that scale with the business
You prioritize data quality, observability, and compliance, and build systems that reflect those standards
You communicate clearly and collaborate effectively across technical and non-technical teams
Experience with healthcare data, EHR systems, or HIPAA compliance is a plus — but curiosity, adaptability, and a builder’s mindset are what matter most
Interview Process

Video interview with Debbie, AI recruiter
Initial Interviews:
Quick chat with Katie, Director of Talent (15 minutes) 
Hiring Manager Interview with Ani, Director of Engineering (30 minutes)
Complete our Take Home Assessment (asynchronous) 
Interview with John Bachir, Director of Platform Engineering (30 minute)
Interview with Jae Lee, Staff Engineer and Stephen Ku (45 minutes)
Final session with Cavan, CTO + cofounder (30 minutes)
Reference Checks

Skills required