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# Platform Engineer

- **Company:** Harrison Clarke
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $350,000.0
- **Contract:** Permanent contract
- **Skills:** Cerner, Application Programming Interfaces (APIs), Artificial Intelligence, Clinical Data Repository, Information Engineering, Data Infrastructure, EHR Systems, Fast Healthcare Interoperability Resources, Reliability of Systems, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/paeojrojmi

## About the Role

* 6+ years of data engineering / platform engineering experience, with at least one 0-1 platform build under your belt
 * Proven track record building and maintaining integrations with EHR systems (Epic, Cerner, athenahealth, or similar), including familiarity with HL7v2, FHIR, and/or CCD/CCDA standards
 * Deep proficiency in designing and scaling data pipelines that handle high volume, high stakes healthcare data
 * Experience navigating the practical realities of healthcare data messy source systems, inconsistent standards adoption, and the compliance layer (HIPAA) that sits over everything
 * A strong eye for data quality and system reliability you care about the integrity of what flows through the pipeline, not just that it flows
 * Comfort working in fast-moving, ambiguous environments where priorities shift
 * Bonus: experience with claims data, interoperability APIs, or building data products used directly by clinicians or care teams

## Description

Harrison Clarke Ventures is currently partnered with multiple tier 1 VC-backed AI/ML startups across the HealthTech space within the US. We're on the hunt for Senior to Staff Software Engineers who know how to build integrations with EHR systems 0-1!

What you'll be doing

You'll be embedded with a fast-growing healthtech company, owning the data platform from the ground up. That means architecting the systems that connect clinical data across a fragmented healthcare ecosystem, working closely with founders and clinical/product teams, and building the infrastructure that makes it possible to move data reliably, securely, and at scale.


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