Staff Software Engineer, Data Platform

10+ years of development experience with a focus on cloud-based solutions Expertise in Python Experience working with data platform solutions such as Snowflake, DataBricks, Redshift, or ClickHouse Experience working with Postgres or a similar relational database Hands-on experience with eventing solutions such as Kafka, NATS, or SQS Experience building cloud-native distributed systems and working with event-driven architectures Experience with data-pipelines Experience working with Kubernetes Experience working with product managers to plan, build, and iterate on deliverables Experience working in a security-conscious environment Excellent communication and team collaboration skills Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience

Design, build and launch new data products, capabilities and data pipelines Develop and maintain streaming and ingestion capabilities using technologies like Kafka, NATS, and SQS Partner with other engineering and data teams to provide foundational backend and data infrastructure Build scalable and secure systems for accessing clinical data at scale Optimize and evolve platform capabilities (e.g., event bus, ingestion frameworks, data storage patterns) Contribute to engineering standards, system design reviews, and best practices