FreshRemote.Work

Data Engineer

Penn State University Park

APPLICATION INSTRUCTIONS:

  • 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.

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, requirements; and design solutions for project-level activities.

  • Work with team members to facilitate collaborative partnerships among OPAIR and University teams by actively exchanging information and lending support to enhance data-related initiatives.

  • Work with various cloud technologies as needed.  (Current focus is on-premise systems.)

  • 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.

Flexible arrangement opportunities:

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

  • Standard working hours are in the Eastern time zone.

Education and experience:

This position will be filled at the professional or intermediate professional level. Minimally requires an Associate's degree or an equivalent combination of education and experience for the professional level. Additional education and/or experience is required for higher level jobs.

Preferred Experience:

  • Familiarity with a combination of the following technologies: ETL, Data Warehouse, SSIS Programming, ODI, Informatica (or comparable/compatible tools/packages); SQL, PL/SQL, Stored Procedure/C#/VB/.Net Programming experience; Data Analyst skills; Data architecture skills 

  • Experience with Microsoft SQL Server and/or Oracle Database Infrastructure.    

  • Excellent communication, time management, and collaboration skills

  • Additional skills: Python/JSON/Powershell Scripting, familiarity with cloud technologies. 

The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.

The salary range for this position, including all possible grades is:

$51,000.00 - $89,600.00

Salary Structure - additional information on Penn State's job and salary structure. 

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

Employment with the University will require successful completion of background check(s) in accordance with University policies. 

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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Copyright Information

Hotlines

University Park, PA Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Fully remote Fully remote within the United States Must be a current employee or student to apply internally

Benefits/Perks

Collaborative learning environment Flexible work location Fully remote Professional growth

Tasks
  • Analyze software development methodologies
  • Collaborate on data initiatives
  • Communicate progress updates
  • Enhance data warehouses/ETL solutions
  • Monitor data acquisition jobs
  • Pursue professional growth
  • Research
  • Support institutional research
Skills

Analytics Business Intelligence C Cloud Technologies Collaboration Communication Data analysis Data Architecture Data engineering Data Governance Data Modeling Data Science Data Warehouse Engineering ETL Informatica JSON Microsoft SQL Server ODI Optimization Oracle Oracle database PL/SQL PowerShell PowerShell scripting Python Reporting Research SQL SSIS Stored Procedures Technology Time Management VB.NET Workday

Education

Associate's Degree Degree Equivalent combination of education and experience

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9