Data Engineer / Senior Data Engineer
Company: Movement Labs
Location: United States (Remote)
Salary: $90,000 - $119,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-04-25
About this role
Movement Labs is an incubator and consulting firm that uses technology, data, and experimentation to stop fascism and build progressive power. We help progressives win and defeat MAGA extremists through year-round work grounded in research and real-world testing. Our team partners with leading advocacy groups, grassroots organizers, and electoral campaigns to develop innovative tactics, win elections, and shift power for the long term.
As the R&D powerhouse for the progressive movement, we’ve run over 100 randomized control trials (RCTs) on voter behavior and helped hundreds of organizations increase their impact. We work hard, and the environment evolves rapidly. We are adaptable, nimble, and shift quickly as needed to meet the moment. We are looking for candidates that thrive in this type of environment.
We are looking for 2 roles, one Senior and one Senior or Mid-level Data Engineer to join the Tech department.
What the work looks like for our data team:
- Design and implement scalable data architecture for targeting and engagement
- Serve as technical partner to program teams
- Extend our foundational datasets to facilitate new outreach strategies
- Load-test our systems to prepare for elections
- Maintain key datasets for polling images and precinct cross-matching
- Develop standardized experimental frameworks for testing campaign effectiveness
- Build AI tooling that makes our own team faster — QC agents for data deliveries, the evals to trust them, and context systems that keep our repos self-documenting
Our data team’s work mixes greenfield builds, pragmatic plumbing, incident response, and operational work. The relative mix shifts with the political calendar.
These roles will run from June 1 through November 20. These roles are fully remote.
Responsibilities
- Shape the pipelines and integrations feeding our RCT platform and our foundational voter datasets: the APIs, replication, federation layers, experiment randomization, and the failure ...