Apply on Employer Site

Penn Medicine, University of Pennsylvania Health System · 1 month ago

Senior Data Engineer PennDnA

United States

Full-time

Remote

Senior Level

Penn Medicine is dedicated to providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. The Senior Data Engineer will be responsible for designing, developing, and maintaining robust data pipelines and ETL/ELT processes to support data-driven initiatives in a healthcare environment.

BiotechnologyEducationHealth CareMedicalTraining

Responsibilities

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

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

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

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

Monitor performance of data pipelines ETL/ELT processes, databases and data warehouses, troubleshoot issues, and implement optimizations to improve efficiency, reliability, and scalability

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

Demonstrate a commitment to continuous learning and professional development. Stay current with industry trends, best practices, and emerging technologies in data engineering, ELT/ETL processes and data transformation. Look for opportunities to optimize the team’s processes and workflows

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

Qualification

Data EngineeringETL/ELT ProcessesCloud TechnologiesDatabase ManagementData GovernanceHealthcare Data ExperienceContinuous ImprovementEpic Clarity Data ModelBachelor's DegreeCollaborationTechnical LeadershipProblem SolvingCommunication Skills

Required

Epic Clarity Data Model (must be completed within 6 months of start date)

Bachelor's Degree in Computer Science, Information Systems or related field

Experience in data engineering, database management, or related roles, with significant experience managing work

Proven track record of leading and executing moderately complex projects with minimal oversight

Benefits

Comprehensive compensation and benefits program

Prepaid tuition assistance programs

Company

Penn Medicine, University of Pennsylvania Health System

Glassdoor3.9

Penn Medicine is a world leader in academic medicine, setting the standard for cutting-edge research, compassionate patient care, and the education of future health care professionals.

Founded in 1765