Aclu
Senior Data Engineer
New York, New York, United States · Senior · Full-time
Sponsorship not specifiedDetected 50 days ago
PythonCode ReviewSnowflakeRedshiftAWSAzureCloud PlatformsTerraformPandasAirflowdbtData EngineeringAccessibilityAgileCRMCommunicationCollaborationProblem Solving
About the role
- 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.
- 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.
- It is represented by ACLU Staff United (ASU).
Responsibilities
- 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.
- Design, build, test, deploy, and maintain multi-source, multi-destination data pipelines and products
- Play a key role in the design and implementation of a centralized communications consent management system with a focus on privacy compliance, performance, and extensibility
- Support the migration of our primary fundraising CRM, with a focus on data integrations between Blackbaud CRM and the broader technology ecosystem
- Collaborate closely with engineers and product management to refine technical requirements and translate business objectives into scalable data solutions
- Participate actively in technical design discussions, balancing pragmatism, maintainability, reliability, and delivery timelines
- Contribute to agile team processes, including sprint planning, ticket refinement, code reviews, testing, documentation, and release support
- Significant experience working with Python and AWS to build and maintain data products and services
- Experience developing and maintaining data transformation workflows using modern tooling (e.g., dbt, pandas)
Requirements
- Work primarily within Dagster, dbt, and the AWS ecosystem, with a strong understanding of the data models, APIs, and operational constraints of our systems and integrations
- Significant professional experience operating with a high degree of technical ownership and autonomy in a collaborative engineering environment, including improving engineering practices, standards, or team processes
- Strong understanding of software and data engineering best practices, including observability, testing, maintainability, and operational reliability
Compensation
- The ACLU is committed to equity, transparency, and clarity in pay.
- Consistent with our compensation philosophy, there is a set salary for each role based on geographic work location.
- The annual salary for this position is $167,568 (Level E), reflecting the salary of a position based in New York, NY.
- Salaries are subject to a regional pay adjustment if authorization is granted to work outside of the location listed in this posting.
- We support employee growth and development through annual professional development funds, internal professional development programs and workshops
Benefits
- Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
- Plan for your retirement with 401(k) plan and employer match
- Help foster a culture of continuous learning, thoughtful iteration, and engineering excellence
- Center and embed the principles of equity, inclusion, and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
Visa & Work Authorization
- race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteris
This listing is sourced directly from Aclu's careers page and normalized into a canonical job model.