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Lead Data Engineer PennDnA- People

Penn Medicine

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At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Penn Medicine seeks a Lead Data Engineer to lead the design, development, and implementation of data engineering solutions for data-driven initiatives. The role focuses on scalable healthcare data platforms, cloud technologies, ETL/ELT processes, governance, and security. The engineer will manage moderately complex projects, collaborate with stakeholders and cross-functional teams, and help shape team strategy and continuous improvement.

Skills & qualifications

RequiredNice to have

Skills

Data Engineering, nice to haveDatabase Management, nice to haveProject Management, nice to have

Qualifications

Bachelor's in Computer Science, Information Systems, or Related Field, required6+ Years Data Engineering Experience, requiredMaster's in Computer Science, Information Systems, or Related Field, nice to have

Benefits

Tuition Assistance

Full job description

Description

Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.

Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?

  • Entity: Corporate

  • Department: PennDNA Data Mgmt and Ops

  • Location: Remote based out of 3535 Market Street. Philadelphia, PA

  • Hours: 8hr Days

Summary :

The Lead Data Engineer- People will be responsible for leading the design, development, and implementation of data engineering solutions to support our data-driven initiatives. This role requires a strong background in data engineering, cloud technologies, and technical leadership, with proven experience in delivering scalable and robust data platforms in a healthcare or research environment.

Responsibilities:

  • Data Integration and Processing: Lead the design and architecture of 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. Evaluate and recommend appropriate data technologies, platforms, and tools to optimize data processing, performance, and cost-effectiveness.

  • ETL/ELT Development: Coordinate and lead the build and optimization of ETL/ELT processes and work within Cloud technology such as AWS, Azure and/or 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, including senior leaders, 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 Azure and Databricks. Design and deploy data solutions using cloud-native services to support advanced analytics, machine learning, and data visualization initiatives.

  • Data Governance and Security: Guide the establishment and enforcement of data standards, data governance policies, and best practices to ensure the accuracy, completeness, consistency and integrity of healthcare data. Implement data monitoring, validation, and lineage tracking mechanisms to ensure compliance with regulatory requirements and organizational data governance policies, including definitional and quality standards.

  • Project Management: Independently manage moderately complex projects from concept to execution, coordinating with other PennDnA teams as needed.

  • Collaboration: Build relationships with PennDnA and client stakeholders, including senior leaders. Collaborate with cross-functional teams to understand business needs and develop solutions that align with organizational goals. Help set the team’s direction, contributing to team strategy and roadmap.

  • Continuous Improvement: Stay current with industry trends, best practices, and emerging technologies. Lead continuous improvement for data engineering. Contribute to a culture of performance excellence.

Education or Equivalent Experience:

  • Bachelor of Arts or Science Computer Science, Information Systems, or related field (Required)

  • And 6+ years' Experience in data engineering, database management, or related roles, with significant experience in managing complex projects. Proven track record of independently leading projects from concept to execution, coordinating with cross-functional teams, as needed. (Required)

  • Master of Arts or Science Computer Science, Information Systems, or related field (Preferred)

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.

Live Your Life's Work

We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.

REQNUMBER: 348536

How this job compares

Set against the 6,174 open Data Engineer jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This postingNot listed
  • Pennsylvania median$108–210K/yr119 salary ranges
  • US median$60–70/hr270 hourly ranges
Openings
Olive Jobs lists 162 open Data Engineer jobs in Pennsylvania and 6,174 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Pennsylvania
Experience
This posting asks for at least 6 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,392 postings).
Education
2,381 of the 6,174 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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