We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.

Responsibilities:

• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.
• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.
• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.
• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.
• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.
• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.
• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.