Top Healthtech Software Engineer Jobs in Washington DC,

Lead technical analysis and design of healthcare interoperability solutions, defining data exchanges and integration workflows (APIs, HL7, X12, SFTP). Conduct client discovery, produce mappings and interface specs, investigate failures, develop tests, manage multiple implementations, support launches and steady-state operations, and mentor junior analysts.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Develop and maintain scalable Python software, integrations, and web applications. Collaborate with QA, IT operations, analysts, and stakeholders in an Agile/Scrum environment. Design technical solutions, translate workflows into requirements, participate in code reviews and Scrum ceremonies, optimize relational and non-relational database queries, troubleshoot production issues, and improve application performance and security.

The Founding Engineer will lead the development of Sailor Health's AI-powered platform, building systems for patient care and mentor the engineering team.

Own and administer Workato automation connecting Salesforce, Zendesk, and operational systems. Build and maintain enterprise integrations, troubleshoot production failures, implement monitoring and error handling, and automate inefficient processes. Partner with Salesforce administrators, technical program managers, and developers while establishing reliable data architecture and system-of-record boundaries.

Lead Headway’s Web Platform team of five frontend engineers. Own frontend strategy, design systems, web architecture, accessibility, performance, testing, and agentic UI workflows. Hire and develop engineers, manage performance, align with Design and product teams, define roadmaps and metrics, and advocate for frontend standards company-wide. Remain hands-on with code and AI tools while evolving shared frameworks, tooling, documentation, and automated quality checks.

Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Leads and develops a software engineering team through coaching, feedback, hiring, and career growth. Partners with product and engineering leadership on priorities, execution, architecture, and technical strategy. Reviews system designs, evaluates tradeoffs, supports code reviews, and drives improvements in scalability, reliability, performance, testing, and engineering processes. Works remotely with cross-functional leaders to deliver and maintain veterinary software products.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.