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 Senior 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.

Responsibilities Include:

• Collaborate with a 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.

• Assume a pivotal role as the backup for the Director of Data Engineering, ensuring seamless continuity and essential assistance in their absence.

• Assist in the development, deployment and maintenance of cloud-based solutions, with a focus on the Microsoft Azure and Oracle Cloud Infrastructure environments.

• Craft, sustain, and enhance legacy data warehouses/ETL solutions on Microsoft SQL Server and Oracle databases, 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 both management and peers for streamlined communication.

• Collaborate with teams to identify risks, issues, requirements; and design solutions for project-level activities.

• Facilitate collaborative partnerships among university teams by actively exchanging information and lending support to enhance data-related initiatives.

• Proactively pursue continuous professional growth by remaining abreast of the latest advancements in data engineering, technology, and business intelligence practices. Share acquired insights and knowledge with the team to foster a collaborative learning environment.

Work location is flexible: fully remote within the United States, fully in-person at our University Park Campus, or a hybrid model. St