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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)
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 
------------- Applicants should include salary requirements in cover letter. -------------
------------ 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.  -----------
-------------------- Join the team responsible for strategy, implementation, and maintenance of technology at the University of Pittsburgh-ranked by Forbes among Amazon, CDW, Cisco Systems, Google, LinkedIn, and Microsoft as one of "America's Best Large Employers."
Job Summary
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.
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-keyboard video 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 To be determined based on 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