Senior Data Engineer

Description

This is a hybrid position. Must be able to work at foundation offices in Ames, Iowa at least 2-3 days per week.

Join the Iowa State University Foundation in our mission to engage our community, inspire philanthropy, and steward resources to advance Iowa State University and its impact on Iowa and the world. We are seeking a collaborative individual with strong technical expertise to join our data services team.

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As an essential member of the data services team, this position serves as a key contributor to the foundation’s modern data environment by turning information from multiple sources into reliable, well-organized data that can be used for reporting, decision‑making, donor engagement, and emerging AI‑supported work.

• Prepare and organize data so it can be used responsibly and reliably in AI‑supported tools, reporting, and business workflows.
• Collaborate on pilot projects that use AI to improve or speed up data‑related work, while ensuring appropriate human review, validation, and data quality controls.
• Design, build, document, and maintain data sets on the cloud data platform that transform source data into clean, consistent, analytics‑ready information for business users.
• Develop and improve SQL‑based data transformations, ensuring the data platform performs well and produces accurate, dependable results.
• Partner with others to move data into and out of the platform so business systems, reporting tools, and engagement processes receive reliable and well‑structured information.
• Identify, investigate, and resolve data quality, reconciliation, and source‑system issues including differences in definitions, formats, matching rules, and data relationships.
• Provide responsive support to data users by explaining solutions clearly, documenting procedures, and helping others understand how to use data effectively.
• Stay current on data tools, cloud platform capabilities, and emerging practices that can improve the foundation’s data environment and business outcomes.

• Bachelor’s degree in computer science, MIS, data analytics, or another related field. Equivalent practical experience considered.
• 6-7 years in data engineering, analytics engineering, or BI development, including hand‑on SQL development, data modeling, and building data transformations.

• Strong SQL and relational data modeling (dimensional/star schema and normalized).
• Experience building ETL/ELT transformations, ideally in a medallion or layered warehouse architecture.
• Familiarity with cloud data platforms and managed data ingestion tools.
• Working conceptual understanding of AI/LLMs and how data quality and structure affect AI outputs; comfort with light prompting and structured‑output techniques. Hands‑on AI pipeline construction is a plus, not a requirement.
• Experience with cloud data platforms and familiarity with fundraising or higher education data are a plus.
• Excellent verbal and written communication skills; ability to explain technical topics in business terms.
• Excellent interpersonal and customer service skills.
• Ability to work independently and as part of a team. Must be adaptable, flexible, and self‑directed.
• Proficiency with Microsoft Office Suite and ability to learn new software.
• Must be able to handle several activities simultaneously with attention to detail and adherence to deadlines and accuracy.
• Must adhere to strict confidentiality standards.

Travel: None

FLSA Status: Exempt

Location: Ames, IA; potentially hybrid