Data Engineer

We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.Responsibilities:• Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.• Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.• Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.• Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.• Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.• Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.• Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.• Support file-based data exchange and integration processes, including secure FTP-based transfers where required.