Senior Data Engineer (EDGE)

Pittsburgh, PA, US • Posted 23 hours ago • Updated 10 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Information Systems
  • Data Flow
  • Collaboration
  • Infrastructure Architecture
  • Extract
  • Transform
  • Load
  • ADS
  • Marketing
  • Snow Flake Schema
  • Stored Procedures
  • Streaming
  • Cloud Computing
  • Data Warehouse
  • Python
  • SQL
  • Customer Relationship Management (CRM)
  • Management
  • Digital Marketing
  • Web Analytics
  • Google Analytics
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • Data Modeling
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • Terraform
  • Data Governance
  • Higher Education
  • Regulatory Compliance

Summary

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;

    Google Cloud Platform (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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1ea725
  • Position Id: b417a07531a5ab46924afb186fefd9f9
  • Posted 23 hours ago
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