Staff Integrations Engineer

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 are implemented. This role is for someone who builds and improves systems, not just configures them., * 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 ensure data integrity Act as a Technical Advisor

• Partner with customers to design integration approaches 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, dashboards, and automated diagnostics
• Build internal tools to accelerate implementation, QA, and troubleshooting
• Continuously improve the scalability and reliability of integration systems

• 7+ years of experience in software, integrations, or forward-deployed engineering
• Strong programming skills (Python, Go, or similar) with a track record of building production systems
• Experience with healthcare interoperability standards (HL7, FHIR, ADT, CDA
• AI-native development
• Proven ability to design and build data pipelines and integrations-not just configure them
• Strong SQL skills and experience working with large, messy datasets
• Experience building monitoring and observability systems
• Ability to debug complex distributed systems end-to-end
• Experience working directly with customers in a technical, consultative role
• Excellent communication skills across technical and non-technical audiences
• Strong ownership and ability to independently drive ambiguous problems to completion
• Familiarity with security and compliance requirements (e.g., HIPAA, SOC 2)
• A desire to improve healthcare data infrastructure

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity

• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO

• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

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.