Staff Data Engineer

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; and

Joining each and every one of your colleagues in creating an inclusive workspace.

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; and

Passion, energy, and excitement for progressive and philanthropic causes.

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; and

Experience working with cross functional teams in a dynamic environment.