• Design, build, and maintain data pipelines that ingest, process, and transform data from various sources, including clinical operations, patient interactions, and system performance. • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and enable reliable, data-driven product features and insights. • Develop and manage the data infrastructure, including databases, data lakes, warehouses, and ETL processes. • Optimize query performance and storage strategies to handle large, complex datasets. • Ensure data integrity, accuracy, and security across all stages of the data lifecycle, and support compliance with healthcare regulations (e.g., HIPAA). • Implement best practices in data modeling, database design, and data architecture to support robust analytics and reporting capabilities, as well as downstream ML / AI applications. • Create and maintain documentation for data engineering processes and pipelines. • Stay current with industry best practices and emerging technologies in data engineering and architecture.