APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

Penn State’s Office of Planning, Assessment, and Institutional Research (OPAIR) is seeking a motivated Data Engineer to join our Data Engineering Team. The Data Engineering Team collaborates with the Data Modeling, Institutional Reporting, Data Science and Analytics, and Operations Teams.  You’ll have the opportunity to use your talent and skill to empower informed decision-making through a robust data ecosystem for state and federal reporting, accreditation, and university-wide initiatives. 

To be considered for this role, a cover letter and resume are required.  

Responsibilities Include: 

• Collaborate with our team of data engineers to support OPAIR's Institutional Research, Assessment, Data Governance, Planning, and Data Science teams, contributing to the continual evolution of Penn State’s data ecosystem. 

• Craft, sustain, and enhance legacy data warehouses/ETL solutions on built on Microsoft SQL Server and Oracle Database Infrastructure, ensuring their ongoing efficiency and optimization. 

• Monitor and maintain existing portfolio of data acquisition jobs. 

• Analyze and enhance existing software development methodologies, focusing on source code control, testing procedures, and release management to drive continuous improvement and effective implementation. 

• Articulate progress updates and address any concerns transparently with management and peers for streamlined communication. 

• Collaborate inter-team and intra-team to identify risks, issues