Data Engineer

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May 26

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Givzey

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Finance • Non-profit • SaaS

Givzey is a platform that offers intelligent solutions for the fundraising process, including smart gift agreements, dynamic workflows, automated pledge reminders, and intelligent invoicing. The company aims to streamline and scale multi-year giving and one-time gifts, enhancing the donor experience while providing tools for fundraising teams to improve efficiency. Givzey is utilized by educational institutions and other organizations to secure and manage donations effectively.

2 - 10 employees

💸 Finance

🤝 Non-profit

☁️ SaaS

📋 Description

• We’re looking for a Data Engineer to architect and scale the data backbone that powers our AI‑driven donor engagement platform. • You’ll design and own modern, cloud‑native data pipelines and infrastructure that deliver clean, trusted, and timely data to our ML and product teams - fueling innovation that revolutionizes the nonprofit industry. • We’re a collaborative, agile team that values curiosity, autonomy, and purpose. • Whether you're refining AI-driven experiences or architecting tools for the future of giving, your work will help shape meaningful technology that makes a difference.

🎯 Requirements

• US Citizenship • Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field • 2+ years of hands-on experience building and maintaining modern data pipelines using python-based ETL/ELT frameworks • Strong Python skills , including deep familiarity with pandas and comfort writing production-grade code for data transformation • Fluent in SQL , with a practical understanding of data modeling, query optimization, and warehouse performance trade-offs • Experience orchestrating data workflows using modern orchestration frameworks (e.g., Dagster, Airflow, or Prefect) • Cloud proficiency (AWS preferred) : S3, Glue, Redshift or Snowflake, Lambda, Step Functions, or similar services on other clouds • Proven track record of building performant ETL/ELT pipelines from scratch and optimizing them for cost and scalability • Experience with distributed computing and containerized environments (Docker, ECS/EKS) • Solid data modeling and database design skills across SQL and NoSQL systems • Strong communication & collaboration abilities within cross‑functional, agile teams