Senior Data Engineer (EDGE)

Evaluates business requirements, creates advanced data ingestion processes and modeling, and provides extensive support for databases and relevant services. Designs new data architectures. Ensures data quality and delivery. Trains and assists lower-level data engineers; often serves as team lead. Supports data analysts and scientists with expert-level research and consulting.

Pitt IT Analytics

Pitt Digital is seeking a Senior Data Engineer to support the Center for Excellence in Digital Education team. In this role, you will design and implement cloud-based data pipelines that connect enrollment CRM systems, digital marketing platforms, web analytics tools & student information systems into a unified trusted data environment.

This is a pipeline-first engineering role. You will assist in architecting how data flows from source systems into our Snowflake data warehouse, ensuring marketing, enrollment, IT & academic stakeholders can access clean, reliablee & timely data. Collaborate closely with analysts, marketers, enrollment managers & IT teams to understand data requirements and translate them into scalable, maintainable infrastructure. Design and maintain robust ETL pipelines to ingest performance data from Meta, Reddit, Google Ads and other marketing-based APIs

Required Technical Requirements

• Proficiency with Snowflake (SQL, stored procedures, dynamic tables, streams/tasks) or comparable cloud data warehouse
• Proficiency in Python and SQL for pipeline development and data transformation
• Experience integrating data from CRM systems, enrollment management platforms, digital marketing platforms and/or web analytics tools
• Experience with Google Analytics 4;
  
  

BigQuery;

GCP (Google Cloud Platform); and

AWS (App Flow, Lamdas)

• Understanding of data modeling, dimensional design & modern data lakehouse architectures
• Expertise in building and maintaining CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, Terraform)
• Familiarity with data governance considerations in higher education contexts (FERPA compliance, institutional data policies)
  
  

Essential Functions

Must have the ability to work with PC equipment and related hardware/software and telephony video-conferencing systems. Must have good written and verbal communication skills, as well as, analytical, organizational, planning, and strong leadership skills. Must have a proficient knowledge of IT.

Physical Effort

Generally sedentary desk work with computer-keyboardvideo phone other than traveling to other buildings on campus for meetings/events on occasion. Must be able to sit or stand for prolonged periods of time.

The University of Pittsburgh is an equal opportunity employer / disability / veteran.

Assignment Category

Full-time regular

Job Classification

Staff.Data Engineer IV

Job Family

Information Technology

Job Sub-Family

Database

Campus

Pittsburgh

Minimum Education Level Required

Bachelor's Degree

Minimum Years Of Experience Required

5

Will this position accept substitution in lieu of education or experience?

Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.

Work Schedule

M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, urgent support, or scheduled downtime changes. May be responsible for manning an escalation/on-call phone number.

Work Arrangement

Remote: Teams working from different locations (off-campus).

Hiring Range

TBD Based Upon Qualifications

Relocation Offered

No

Visa Sponsorship Provided

No

Background Check

For position finalists, employment with the University will require successful completion of a background check

Child Protection Clearances

Not Applicable

Required Documents

Resume

Optional Documents

Cover Letter