Workday Data Engineer

Clinton, New York

Hamilton College: Hamilton College Non-Faculty
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The Workday Data Engineer will develop, maintain, and optimize data pipelines Hamilton College's Workday enterprise cloud application. This role will integrate data from various campus systems into a central data lake and warehouse for reporting, analytics, and system interoperability. This role requires expertise in data integration, transformation, and governance to ensure high-quality, accessible, and secure data across the institution.

The ideal candidate will have:
  • a minimum of one year demonstrated Workday API integration, EIB, Workday Studio, and RaaS custom report experience,
  • ETL and/or iPaaS solution knowledge,
  • data warehouse skills, and
  • a strong commitment to customer relationships
This is a full-time, exempt, fixed term position ending on June 30, 2028, with a pay rate of $95,000.

Responsibilities
  • Data Integration & Management
    • Develop and maintain data pipelines for efficient data movement across enterprise systems, data warehouses, and data lakes.
    • Implement batch and real-time data integrations using ETL and iPaaS solutions.
    • Design and manage data structures for optimized storage, retrieval, and reporting.
    • Maintain cloud-based and/or on-premises integration platforms.
  • Collaboration & Support
    • Partner with campus data analysts to ensure data availability and usability for reporting, analytics, and visualization.
    • Establish and manage interfaces between data repositories and analytics tools.
    • Provide guidance on connecting analytics software to institutional data sources.
    • Manage data access and security permissions.
  • Data Governance & Security
    • Support enterprise-wide data governance initiatives to improve data quality and ensure compliance with security policies.
    • Assist in the implementation of data protection strategies, governance frameworks, and standardization efforts.
  • Technology & Innovation
    • Stay informed of emerging data technologies, tools, and best practices to enhance institutional data capabilities.
    • Recommend improvements for data management strategies and technical infrastructure.
Date Posted: 07 May 2025
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