Pennsylvania Medicine

Senior Data Engineer, AI Value Realization

Pennsylvania Medicine$110K — $130K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field required.
  • 3+ years of data engineering or database management experience required.
  • Proven ability to manage complex projects independently required.
  • Completion of Epic Clarity Data Model within 6 months of start date required.

Responsibilities

  • Design and architect scalable data pipelines for healthcare data integration.
  • Build and optimize ETL/ELT processes using Cloud technologies like Azure and Databricks.
  • Implement and maintain cloud-based data platforms and services.
  • Enforce data governance and security measures for regulatory compliance.
  • Monitor performance of data pipelines and implement optimizations.
  • Collaborate with cross-functional teams to gather project requirements and provide solutions.
  • Foster continuous learning and mentorship within the data engineering team.

Benefits

  • Remote work flexibility based out of 3535 Market St.
  • Opportunity to work on AI-enabled clinical technologies.
  • Engagement with diverse teams across healthcare and clinical operations.
  • Access to professional development and learning opportunities.
Full Job Description
  • Entity: Corporate Services
  • Department: PennDNA Data Management and Ops
  • Location: Remote based out of 3535 Market St
  • Hours: 8hr Days

Summary:

This Senior Data Engineer role will be a key contributor to Penn Medicine's efforts to measure and demonstrate the real-world impact of AI-enabled clinical technologies, including ambient listening and other provider workflow interventions. The individual will design and develop scalable data products, analytical datasets, and measurement frameworks that enable the organization to evaluate how these technologies influence clinical, operational, provider, and patient outcomes.

Working closely with clinical, operational, analytics, and informatics stakeholders, this role will build data engineering solutions that support the development of metrics and models focused on outcomes such as provider satisfaction, reduction in after-hours documentation ("pajama time"), documentation and coding quality, patient satisfaction, care delivery efficiency, and broader health outcomes. The successful candidate will help establish trusted, scalable data foundations that enable rigorous evaluation of AI interventions and support data-driven decision making across the health system.

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.
  • Continuous Improvement: 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.

Credentials:

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

Education or Equivalent Experience:

  • Bachelor's degree in Computer Science, Information Systems, or related field is required.
  • 3+ years of experience in data engineering, database management, or related roles, with significant experience managing work is required.
  • Proven track record of leading and executing moderately complex projects with minimal oversight is required.

About Pennsylvania Medicine

The University of Pennsylvania is a private Ivy League research university in Philadelphia. It is the fourth-oldest institution of higher education in the United States and is ranked among the highest-regarded universities by numerous organizations and scholars. While the university dates its founding to 1740, it was created by Benjamin Franklin and leading Philadelphia citizens in 1749 . The University has four undergraduate schools as well as twelve graduate and professional schools. Schools enrolling undergraduates include the College of Arts and Sciences, the School of Engineering and Applied Science, the Wharton School, and the School of Nursing. Among its highly ranked graduate schools are its law school, whose first professor wrote the first draft of the United States Constitution, its medical school, the first in North America, and Wharton, the first collegiate business school. Penn's endowment is US$20.7 billion, putting it amongst the wealthiest academic institutions in the world, and its 2019 research budget was $1.02 billion. Penn was one of nine colonial colleges chartered before the U.S. Declaration of Independence when Benjamin Franklin, the university's founder and first president, advocated for an educational institution that trained leaders in academia, commerce, and public service. The campus, in the University City neighborhood of Philadelphia, is centered around College Hall, and notable landmarks are Houston Hall, the first modern "student union", and Franklin Field, the first double-decker college football stadium. Penn also is the home of the Morris Arboretum, the official arboretum of the Commonwealth of Pennsylvania, which is located 15 miles northwest of the campus, in the Chestnut Hill section of Philadelphia. The university's athletics program, the Quakers, fields varsity teams in 33 sports as a member of the NCAA Division I Ivy League conference.
Learn more about Pennsylvania Medicine

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