About the role

Principal engineer owning canonical healthcare data models, HL7/FHIR pipelines, and AI-assisted development at Verto Health. Remote across Canada with quarterly Toronto team days.

Responsibilities

Set and hold the code review bar and raise software quality standards
Build and drive the AI-assisted development pipeline and agentic harnesses
Evaluate technical approaches through R&D and spikes and bring useful solutions to the team
Manage technical debt and resilience, including retiring legacy code
Own the canonical healthcare data model for patients, encounters, providers, claims, and clinical events
Own the semantic terminology service, platform APIs, and datasets used by application and analytics layers
Set standards for data quality, lineage, and standardization
Build provenance so clinical or financial decision outputs can be traced to source
Make data-side decisions in the Architecture Review Board
Design ingestion and ETL for HL7 v2, FHIR, claims, and third-party data
Work with federated query engines such as Trino and multi-source ingestion patterns
Optimize pipelines for throughput, cost, reliability, and latency
Own root cause analysis when data feeds fail
Build operable, reusable ingestion patterns that engineering teams can run across clients
Collaborate with engineering, AI engineering, product and delivery, and implementations teams
Report to the CIO

Bachelor's degree in Computer Science, Engineering, Health Informatics, or a related field, or equivalent experience
7+ years in software and data engineering
4+ years hands-on building and operating production systems on a team that reviewed each other's code
Strong current Python and SQL
Hands-on HL7 v2 and FHIR experience with real EHR and claims data
Experience designing canonical data models, schemas, and ETL at scale across multiple source systems
Experience setting and holding a code review bar
Comfortable leading through influence without direct reports
Hands-on experience with AI-assisted development tooling
Cloud data platform experience, ideally Azure
Working knowledge of PHIPA, PIPEDA, or HIPAA as they bear on health data
Preferred: experience with Mirth Connect, Rhapsody, or InterSystems
Preferred: HL7 v3, C-CDA, IHE, DICOM, or X12 claims files such as CCLF
Preferred: SNOMED CT, LOINC, ICD-10, or OMOP CDM
Preferred: familiarity with the Canadian digital health landscape, including Ontario Health, provincial health information exchanges, or Canada Health Infoway
Strong communication skills
Legally eligible to work in Canada