Principal Software Engineer - Clinical Analytics

Location: Hybrid position based out of the headquarters in the Greater Seattle area. Applicants must be authorized to work in the United States for any employer; visa sponsorship is not available.

Base pay: $222,000–$240,000 per year.

Company

hirify.global is building a health data platform that helps researchers, clinicians, and health systems use data to improve care and patient outcomes.

What you will do

• Define the end-to-end architecture for clinical analytics, including analytical data serving, metric computation, dashboards, and visualization.
• Make foundational decisions on OLAP storage, data modeling, query performance, caching, and scalability for population-level health data.
• Design secure multi-tenant systems with data isolation, fine-grained access control, and auditability for sensitive health data.
• Build and prototype critical components, establish technical standards, and lead design and code reviews.
• Partner with Product, Design, Data, and Engineering leadership to guide platform strategy and delivery.
• Mentor engineers and establish practices for reliability, observability, and operational excellence.

Requirements

• BS/MS in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 12+ years of experience designing, building, and operating large-scale software systems, including technical leadership across complex, multi-team initiatives.
• Deep experience with data, OLAP, analytical databases, BI or dashboarding platforms, and data modeling for high-performance reporting.
• Strong backend engineering experience with .NET/C#, Python, or a similar language, plus REST APIs, microservices, distributed systems, and cloud-native architectures such as Azure.
• Ability to make and communicate architectural tradeoffs, align stakeholders, mentor engineers, and write clear technical design documents.
• United States work authorization for any employer is required; visa sponsorship is unavailable.

Nice to have

• Experience with embedded analytics, self-serve BI, or data-driven products.
• Experience with multi-tenant architectures, row-level security, and tenant isolation in regulated or sensitive-data environments.
• Healthcare data, clinical quality measures, or health informatics experience.
• Containerized deployments, infrastructure as code, and high-availability production services experience.
• Experience applying AI or natural-language interfaces to analytics and data exploration.

Culture & Benefits

• Meaningful work focused on improving healthcare and patient outcomes.
• Medical, dental, and vision insurance, plus a 401(k) plan.
• Professional development and training opportunities.
• Flexible work hours, flexible paid time off, and generous parental leave.
• Regular virtual and in-person team activities.