The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

Build and operate AI-enabled, production-grade healthcare data platforms: design scalable pipelines, model and standardize data in Databricks, write Python/SQL/Java for reconciliation and validation, enable LLM-powered data access, implement monitoring/governance, and collaborate with vendors and stakeholders.

The AI Engineer will develop AI/ML solutions for investment analysis, design applications, optimize models, and work with large datasets in healthcare and finance contexts.