Data Engineer

Description

The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction of the Senior Data Engineers. This role contributes to the development and maintenance of the Foundation's data warehouse, ETL/ELT pipelines, data models, and data quality frameworks to ensure trusted, timely data for fundraising, financial, and operational decisions. The Data Engineer plays a critical role in supporting enterprise reporting and business intelligence needs — including Power BI and Alteryx-based solutions — serving internal and external customers such as University Advancement and the Foundation's accounting team.

Strong technical skills are essential, as is the ability to collaborate effectively with cross-functional teams, translate data findings into actionable insights, and uphold the quality and integrity of Foundation data.

• Follows the principles of the Foundation’s core values:

• Motivated to value-add to the success of the Foundation
• Effective communicator
• Collaborative
• Dependable
• Detail-oriented
• Adaptable, receptive to change
• Teach through example and service
• Practice professional curiosity and desire to learn
• Excellent interpersonal skills and ability to work with a diverse constituency
• Maintain confidentiality
• Work safely

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Implement, maintain, and optimize scalable ETL/ELT pipelines and data warehouse structures – including tables, views, stored procedures, and functions – producing clean, version-controlled, replicable code; troubleshoot and resolve pipeline failures, data discrepancies, and performance bottlenecks

• Build and maintain reports, dashboards, datasets, views, and queries using Power BI and other enterprise reporting tools, delivering accurate and timely data insights to internal and external customers including the AAR team and the Foundation's accounting function
• Utilize Alteryx for data preparation, transformation, and workflow automation; support and write structured code for additional enterprise reporting platforms including Microsoft SSRS, Salesforce, and related tools

• Implement and maintain data quality checks, validation routines, and exception handling to ensure accuracy, completeness, and consistency of data across systems
• Implement Foundation data security policies, compliance standards, and define data assets and models to populate data structures
• Write, revise, and maintain program documentation, operational documentation, data models, and data flow documentation in accordance with Foundation standards

• Support relational database environments (Oracle, SQL Server, Postgres, Microsoft Fabric), including performance optimization, indexing, and access management
• Execute system tests to ensure business continuity and successful code releases; unit test new or modified applications and participate in code reviews

• Collaborate closely with the Senior Data Engineers, receiving technical guidance and implementing solutions based on established designs; support the Senior Data Engineers’ engagement with the Advancement Analytics & Reporting (AAR) team by implementing data warehouse structures, pipelines, and reporting datasets per AAR requirements; coordinate work through Jira
• Support the Foundation's accounting function by building and maintaining Power BI and Alteryx-based reporting solutions, with particular focus on the Foundation's transition to Net Suite as its enterprise accounting platform
• Collaborate with analytics, financial services, IT, university departments, and external partners to improve data models and increase data accessibility; contribute to project evaluations and improvement plans; engage actively in continuing education and staff meetings

• Other duties as assigned