Staff Data Engineer

Role overview

Lead the technical delivery of data infrastructure that supports public-service products and the analysis used to evaluate their outcomes. This staff-level role combines hands-on data engineering with architectural leadership, cross-functional planning, mentorship, and a strong focus on reliability, privacy, security, and responsible data use.

Responsibilities

- Design and deliver scalable data pipelines, transfers, transformations, integrations, and validation processes in cloud environments. - Translate requirements from data science, software engineering, and product teams into practical data architecture and implementation plans. - Improve the consistency, performance, monitoring, deployment, and operational reliability of data systems. - Investigate and resolve data-quality or infrastructure issues, communicate findings clearly, and recommend process improvements. - Establish and promote practices for data governance, privacy, security, dataset management, documentation, and lifecycle controls. - Provide technical direction, mentorship, written guidance, and enablement for data scientists and engineers.

Requirements

- Demonstrated experience leading the technical execution of data infrastructure projects and making sound architectural decisions. - Strong background building and operating production data pipelines and systems that support analytics or reporting. - Ability to collaborate effectively with data scientists, software engineers, product managers, and DevOps partners. - Experience diagnosing complex data problems and balancing delivery needs with reliability, performance, security, and governance. - Clear written and verbal communication skills, including the ability to document systems and explain technical decisions.

Benefits and work setup

- Fully remote work for employees residing in the United States, with a standard Monday–Friday, 40-hour schedule. - Internal collaboration hours are generally planned between 10 a.m. and 3 p.m. Pacific Time. - Travel is expected to be no more than 10%. - Professional-development funding, health coverage options, retirement contributions with employer matching, paid holidays, open personal time off, paid sick time, and paid parental and family leave are provided.