ABOUT THE JOB
The ACLU seeks applicants for the full-time position of Senior Data Engineer in the Technology Department of the ACLU’s National office in New York, NY. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month.
The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the technology team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.
The Product & Engineering division includes engineers, product managers, product designers, and project operations experts who build and maintain engaging digital products and secure technical systems that accelerate the ACLU’s mission as our nationwide guardian of rights and liberties.
This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).
WHAT YOU'LL DO
Reporting to the Director of Data Engineering, the Senior Data Engineer will join the Data Pod, which leads the ACLU’s operational data engineering efforts. In this role, you will build and maintain data products and integrations between our operational data warehouse and broader technology ecosystem. Your work will ensure that the ACLU and its affiliates can execute fundraising, advocacy, and engagement strategies while prioritizing data privacy and security.
The ideal candidate is a senior-level software or data engineer with significant experience building large-scale, high-volume data products and storage solutions that address complex data and compliance requirements.