Data & Analytics Engineer

AgileMD is revolutionizing healthcare decision-making through their advanced real-time predictive analytics and clinical algorithms platform. Their cloud-based engine serves hundreds of thousands of healthcare professionals nationwide, enabling data-driven medical decisions that optimize patient care quality.

The role of Data & Analytics Engineer is crucial in shaping both internal and customer-facing analytics infrastructure. You'll be responsible for building scalable data pipelines powering clinical decision tools and AI products, while also creating impactful dashboards and reporting frameworks. The position requires strong engineering fundamentals, deep SQL expertise, and experience with modern data stack tools.

The ideal candidate should have 3-5+ years of experience in data engineering, ability to translate analytical questions into technical solutions, and strong collaboration skills across teams. You'll work with technologies including Python, SQL, dbt, Dagster, Airbyte, and AWS services. The role offers competitive compensation ($140K-$180K with 0.25-0.5% equity) and comprehensive benefits.

This is an opportunity to make a meaningful impact on healthcare outcomes while working with a remote-first team that values autonomy, technical excellence, and continuous learning. You'll be part of a company that integrates with major hospital networks and handles critical patient data analysis under strict security standards.