MUST live in the following states (Pennsylvania, Delaware, New Jersey or Maryland) needs to be excellent in the following skills - troubleshooting//problem solving - vocal team player - communication **Ideal candidates have experience processing and transforming large volumes of healthcare data from diverse sources including EHR/EMR (electronic health records or electronic medical records) The Senior Data Engineer will be responsible for designing, developing, and maintaining robust data pipelines, ETL/ELT processes, and other data cleansing and transformation solutions to support data-driven initiatives. This role requires technical expertise in data engineering, database management and cloud technologies, with proven experience in implementing complex data projects in a healthcare or research environment. Responsibilities: • Data Integration and Processing: Design and architect scalable and reliable data pipelines to ingest, process, and transform large volumes of healthcare data from diverse sources, including electronic health records (EHR), clinical systems, research databases, and external data feeds. • ETL/ELT Development: Build and optimize ETL/ELT processes and work within Cloud technology such as Azure and Databricks to ensure efficient data extraction, transformation, and loading while maintaining data quality, consistency, and integrity. Collaborate with a variety of stakeholders across the organization to understand data requirements and translate them into effective ETL/ELT solutions that meet organizational goals. • Cloud Infrastructure and Technologies: Implement and maintain cloud-based data platforms and services, leveraging technologies such as AWS, Azure, or Databricks. Design and deploy data solutions using cloud-native services, such as Azure SQL Database, to support advanced analytics, machine learning, and data visualization initiatives. • Data Governance and Security: Enforce data governance policies, standards, and procedures to ensure compliance with regulatory requirements (e.g., HIPAA, GDPR) and organizational data security policies. Participate in implementation of metric standards, access controls, encryption, and auditing mechanisms to protect sensitive healthcare data and ensure data privacy and confidentiality. • Performance Monitoring: Monitor performance of data pipelines ETL/ELT processes, databases and data warehouses, troubleshoot issues, and implement optimizations to improve efficiency, reliability, and scalability. • Collaboration: Collaborate with cross-functional teams to define project requirements and develop solutions that meet organizational needs. Provide technical leadership and mentorship to junior data engineers and associate data engineers, fostering a culture of continuous learning and innovation within the data engineering team. • Performs duties in accordance with Penn Medicine and entity values, policies, and procedures. • Other duties as assigned to support the unit, department, entity, and health system organization.
