Staff Integrations Engineer

Who we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. What we're looking for We’re hiring a Staff Integrations Engineer to operate as a high-impact individual contributor at the intersection of software engineering and solution delivery. This is a deeply hands-on role: you’ll write production-grade code, build and operate data systems, and own the technical strategy and execution of complex customer integrations. You’ll lead integrations across HIEs, EHRs, claims systems, labs, and other healthcare data sources. This includes turning ambiguous requirements into clear designs, building secure and reliable data pipelines, and ensuring ongoing system performance through monitoring and observability. You’ll also serve as a senior technical advisor to customers—guiding architecture decisions, troubleshooting issues, and shaping how integrations ar [... source excerpt omitted ...] m. The ideal candidate is comfortable working across the stack: parsing messy HL7 payloads, building services in Go, scripting in Python, and leading technical conversations with customers. Key responsibilities: Lead and Deliver Integrations Own end-to-end delivery of customer integrations, including State HIE and ADT feeds—from scoping through production support Design and implement data pipelines for ingestion, transformation, and delivery Build roster management workflows (ingestion, reconciliation, lifecycle management) Architect reliable and scalable data transmission mechanisms (APIs, SFTP, event-driven systems) Establish automated QA and validation frameworks to en [... source excerpt omitted ...] aches and guide technical decisions Translate ambiguous requirements into clear, implementable solutions Advise on interoperability best practices and system architecture Align customer needs with platform capabilities Troubleshoot and Improve Systems Serve as an escalation point for complex integration and data pipeline issues Debug across the full stack, from transformation logic to downstream delivery Identify root causes and implement durable, code-driven fixes Reduce operational overhead by eliminating recurring issues through automation Build Internal Systems and Tooling Develop monitoring and observability systems for integration health Create alerting, dashboar