The Data Engineer will architect data lakes, curate datasets, automate data services, and develop training labs, leveraging cloud technologies and ensuring data quality for AI applications in climate and health.

Design, deploy, and operate a cloud-native data and analytics platform integrating health data with climate models, ensuring security, performance, and user experience.

Lead AI/ML initiatives at IMACS, focusing on model development and deployment for climate-health data integration. Collaborate with teams, ensure effective model delivery, and accelerate training for public health professionals.