Top Healthtech Software Engineer Jobs in Washington DC,

Design, develop, and maintain backend services and data ingestion pipelines; own recurring ingestion runs and validate data quality; maintain CI/CD, deployments, monitoring, and incident response; automate operational work; ensure secure handling of healthcare data and collaborate with product, data, and engineering teams to improve reliability and production readiness.

Maintain and modernize a legacy C#/.NET codebase, design and build new cloud-based applications, write front- and back-end code, add unit/integration tests, review code, troubleshoot issues, and collaborate across teams to improve architecture and reliability.

Lead and grow a distributed product engineering team, own technical roadmap and engineering quality standards, drive architectural modernization and SRE practices (observability, incident response), partner with Product and Design, oversee AI-assisted tooling adoption, and own engineering hiring and cross-functional representation.

Lead technical execution and people management for multiple engineering pods (18 people). Set goals, shape roadmap with product and design, build scalable engineering processes, provide architectural oversight, drive technical excellence, and champion practical AI tooling adoption to improve developer velocity and product capability.

As a Full Stack Software Engineer at Goodbill, you'll develop data systems and user experiences, work with diverse data sources, and integrate AI features, ensuring high-quality consumer-facing applications.

Lead a cross-functional engineering team to design and deliver SMART on FHIR applications embedded in EMR workflows. Champion AI-driven, agent-assisted development, collaborate with data engineering on Python/dbt/SQL pipelines, implement engineering best practices, and manage hiring, mentorship, and stakeholder communication while ensuring quality, reliability, and interoperability.

Design, develop, and support scalable Oracle HCM Cloud solutions including integrations, HCM Extracts, BI Publisher reports, Fast Formulas, and data engineering. Translate requirements, perform testing and root cause analysis, optimize performance, support releases, and mentor technical staff.

Lead day-to-day operations for multiple engineering teams, drive sprint planning and quarterly roadmaps, remove blockers, improve delivery processes, coach and develop engineers, review technical and architectural decisions, coordinate cross-team dependencies, partner with product and design, and track engineering metrics to continuously improve quality and throughput.

Design and architect scalable, secure cloud solutions by analyzing complex requirements, selecting and integrating technologies, producing technical documentation, leading stakeholder presentations, collaborating with development teams for implementation, mentoring junior architects, and continuously evaluating emerging technologies for optimization and compliance.

Analyze, design, program, test, implement and support application software and system interfaces (notably Epic and lab integrations). Lead projects, train and supervise staff, develop specifications and documentation, evaluate vendor products, coordinate installations, and maintain system improvements and quality assurance.