Staff Data Engineer

Successful candidates will be responsible for:Solving our unique data‑lake challenges: transforming and seamlessly normalizing highly varied partner datasets (such as donation data);Design robust batch‑processing pipelines capable of extracting and loading massive datasets from a variety of internal, external, and public sources;Developing processes for data mining, data modeling, and data production;Leveraging modern technology knowledge to champion evolving industry trends, updated design patterns, and engineering excellence across the team;Autonomously scope, design, and execute complex data projects from day one, turning ambiguous requirements into clear, decisive technical plans;Developing robust testing and monitoring systems for scheduled processes;Collaborating with cross‑functional teams to support their data infrastructure needs; andJoining each and every one of your colleagues in creating an inclusive workspace.Must‑have Qualifications:5 years of professional software engineering experience;Eagerness to mentor and technically guide engineering teams;Experience guiding technical decision making;Extensive, hands‑on experience building distributed data pipelines using Apache Spark;Knowledge of how to build and optimize data pipelines, architectures and data sets with the ability to drive additional learning for knowledge gaps;Experience managing data warehouses and/or data lakes;Intellectual curiosity to innovate on ways to solve data management issues; andPassion, energy, and excitement for progressive and philanthropic causes.Nice‑to‑have Qualifications:Experience training or using machine learning models;Experience in key DevOps/Infrastructure technologies such as AWS, GitHub Actions, Terraform, and Docker;An eagerness to lead and take ownership of complex projects;Experience mentoring or managing engineers; andExperience working with cross‑functional teams in a dynamic environment.

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