Data Engineer (Washington)

Data Engineer

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.

About Givzey :

Givzey is a Boston-based, rapidly growing digital fundraising solutions company, built by fundraisers for nonprofit organizations.

Join a fast-growing, mission-driven team working across two innovative platforms : Givzey, the first donor commitment management platform revolutionizing nonprofit fundraising, and Version2.ai, a cutting-edge AI platform helping individuals and organizations create their most authentic, effective digital presence. As an engineer at the intersection of philanthropy and artificial intelligence, you'll build scalable, high-impact solutions that empower nonprofit fundraisers and redefine how people tell their stories online. 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.

Responsibilities :

• Design & build data pipelines (batch and real-time) that ingest, transform, and deliver high-quality data from diverse internal and third-party sources
• Develop and maintain scalable data infrastructure (data lakes, warehouses, and lakehouses) in AWS, ensuring performance, reliability, and cost-efficiency
• Model data for analytics & ML : create well-governed schemas, dimensional models, and feature stores that power dashboards, experimentation, and ML applications
• Implement data quality & observability frameworks : automated testing, lineage tracking, data validation, and alerting
• Collaborate cross-functionally with ML engineers, backend engineers, and product teams to integrate data solutions into production systems
• Automate infrastructure using IaC and CI / CD best practices for repeatable, auditable deployments
• Stay current with emerging data technologies and advocate for continuous improvement across tooling, security, and best practices

Requirements :

Nice-to-Haves :

What You'll Do Day-to-Day :