• Build and optimize scalable end-to-end data pipelines for ingestion, transformation, and delivery • Design and develop data models and warehouse structures to support analytics and reporting • Operationalize data-driven solutions, including advanced analytics and predictive models • Create high-quality datasets for business intelligence, machine learning, and experimentation • Implement data quality, lineage, and observability best practices across data workflows • Maintain and improve internal tools and automation frameworks for data operations • Integrate new data sources, including clinical systems, healthcare standards, vendor feeds, and real-time streams • Contribute to CI/CD workflows, infrastructure automation, and cloud-based data architecture • Support all software development lifecycle activities following industry best practices • Research and integrate design strategies, specifications, and user requirements into data solutions • Conduct complex investigations and testing for data systems and workflows • Participate in special projects as needed • Provide technical guidance to the data engineering team through reviews and infrastructure support • Troubleshoot complex data and application issues, ensuring reliability and performance