Senior Data Engineer (EDGE)

Senior Data Engineer (EDGE)

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, reliable and 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)

Preferred Technical Requirements:

• Experience with digital marketing data concepts: attribution modeling, UTM tracking, campaign performance data, funnel analysis
• Familiarity with enrollment funnel metrics and how they map to data infrastructure (inquiries, applications, admits, enrollments)
• Strong experience with AWS data services (DMS, Glue, S3, EventBridge) or equivalent cloud pipeline tooling
• Experience with data observability and quality monitoring tools
• Experience with AI/ML data pipeline requirements and feature engineering

The University offers a robust retirement savings plan with 100% employer match, 150% after vesting. 11 Paid Holidays. Paid Vac, Sick, Personal. Add'l Winter Recess Paid Time Off. Paid Parental Leave. Above-average Employer Contribution toward Medical, Prescription Drug, Dental, Vision, Life, and more. Education benefits for staff, spouses/ partners, dependents. Student loan assistance.