Jobs via Dice · 12 hours ago
Data Engineer PennDnA - Operations
Philadelphia, PA
Full-time
Hybrid
Mid, Senior Level
2+ years expPenn 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.
Computer Software
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
Qualification
Required
Bachelor of Arts or Science in Computer Science, Information Systems, or related field (Required)
3+ years 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
Epic Clarity Data Model (must be completed within 6 months of start date)
Bachelor's Degree Computer Science, Information Systems, or related field Or 4+ years Related experience
2+ years Experience in data engineering, utilizing programming skills to build robust data pipelines and dynamic systems. Proven track record of managing and executing projects with minimal oversight. Understanding of SLDC processes including CI/CD approaches
Preferred
1+ years Experience working with data from Electronic Health Records (EHRs) preferred
Benefits
Prepaid tuition assistance programs
Company
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase