Data Engineer II

Build and maintain dbt models that transform raw source data into reliable, well-documented analytical assets used across operations, revenue cycle, marketing, sales, and product. Partner with stakeholders to translate ambiguous business questions into precise deliverables, identifying when asks need refinement before work begins. Design Tableau dashboards and automated reporting products that eliminate manual effort, while writing Python ingestion pipelines to close data coverage gaps. Maintain data quality standards across the warehouse using dbt tests and anomaly monitoring, and contribute to shared infrastructure including macros, source definitions, and CI/CD practices. Stretch into data science projects like pipeline development, ML feature preparation, or predictive modeling based on business demand.