Verto Health

Full-stack Engineer

• 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

Principal Software Engineer, Health Data – Interoperability