Principal Software Engineer, Health Data & Interoperability (Remote)

Verto Health; Toronto; Remote; CAD 150,000 - 210,000; Full time

Job summary

Verto Health in Toronto, Canada, is seeking a Principal Software Engineer, Health Data & Interoperability to be the senior technical voice and owner of the data architecture underlying our product. You will write code, review peers' work, and design ingestion/transformation pipelines that normalize HL7 v2, FHIR, claims, and third-party data into a reliable product source.

Reporting to the CIO, you will collaborate with four teams: engineering, AI engineering, product/delivery, and

Responsibilities

• Set and hold the code review bar, and raise the standard of what ships rather than only reviewing what arrives.
• Build and drive our AI-assisted development pipeline, from the agent

Job description

About the Company

Verto Health is a health technology company solving some of healthcare's most complex data fragmentation and interoperability challenges. Our patented, AI-enabled platform brings together structured and unstructured clinical data across disparate EHRs, claims, and payer systems to create a unified, actionable view of patient populations.

We work with health systems and value-based care organizations across North America to turn fragmented healthcare data into personalized patient journeys, automated workflows, and more accurate risk adjustment. By connecting data to action, Verto helps healthcare providers reduce manual work, improve operational efficiency, and deliver more proactive, data-driven care at scale.

About the Role

As Principal Software Engineer, Health Data & Interoperability, you will be the senior technical voice on our engineering team and the owner of the data architecture underneath the product. You'll set the bar for what good code looks like, build the AI-assisted development pipeline the team works through, and own the canonical model and the pipelines that feed it.

This is a hands-on role. You'll write code, review everyone's, and design the ingestion and transformation that turns fragmented and inconsistent healthcare data across HL7 v2, FHIR, claims, and third-party sources into something the product can depend on.

Reporting into the CIO, you'll largely interface with four teams. The engineering team owns application architecture and software development, and will operate the pipelines you design. The AI engineering team owns AI system design and evaluation, and will depend on you for reliable modelled inputs. The product and delivery team owns the roadmap. The implementations team owns client projects and integration delivery.

What You'll Do

Engineering Leadership & R&D

• Set and hold the code review bar, and raise the standard of what ships rather than only reviewing what arrives.
• Build and drive our AI-assisted development pipeline, from the agent