Staff Software Engineer

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavant ers are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Staff Software Engineer The Role As a Staff Software Engineer, you will shape the technical direction and architecture of your business unit/vertical. You’ll drive innovation across verticals, solve large-scale system challenges, and mentor senior engineers to maximize impact. You operate with autonomy and influence outcomes at the vertical and/or organizational level. What You’ll Do Define and lead multi-team technical strategies for scalability and interoperability. Design frameworks and reusable systems used across multiple engineering pods. Define engineering patterns adopted across Datavant . Drive cross-functional initiatives in data architecture, security, and reliability. Advise leadership on technical direction and major tradeoffs. Represent engineering in executive technical decisions and planning. Mentor senior engineers and influence cultural and architectural evolution. Tech Stack You’ll Work With As a Staff Software Engineer, you will work across the full breadth of Datavant ’s platform and are expected to operate comfortably within our multi-cloud, large-scale distributed systems environment. Your work will span: Backend: Python, Go, Java; microservices; REST and GraphQL Frontend: TypeScript, React, Next.js (as needed for full-stack or cross-domain work) Infrastructure & Cloud: AWS, multi-cloud architectures, Kubernetes, Docker, and infrastructure-as-code tooling Data Platforms: Snowflake, Spark, SQL, S3; advanced data engineering workflows and high-scale data pipelines ETL & Orchestration: Airflow or AWS Glue Streaming: Kafka or Kinesis for real-time ingestion and system integrations Observability: Enterprise-level telemetry systems including DataDog, Grafana, and CloudWatch Security & Compliance: OAuth2/SAML, encryption, tokenization, and zero-trust security frameworks...

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