Data Engineer / Senior Data Engineer

Movement Labs
Remote

About The Position

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.

Requirements

  • 3-6+ years of experience (Senior or Mid-level) in designing, building, and operating production data pipelines and integrations
  • Strong proficiency in SQL and Python, with hands-on experience across a modern data stack — cloud data warehouses (BigQuery or similar), a transformation framework like dbt, and an orchestrator like Dagster or Airflow
  • A track record of leading technical work across multiple systems or teams, and scoping ambiguous problems end-to-end
  • Sound judgment about when to refactor, when to ship pragmatically, and how to leave systems better than you found them
  • Strong written communication — you document what you build and can explain complex systems to non-engineers
  • Genuine commitment to the mission of stopping fascism and building progressive power, and comfort operating on a political calendar
  • Applicants must be legally eligible to work in the United States. We are not able to provide sponsorship at this time.

Nice To Haves

  • Experience in the progressive, political, advocacy, or nonprofit sector — including awareness of c3/c4/PAC boundaries and the sensitivities of political and voter data
  • Familiarity with election results, voter file data, and the tools campaigns use to organize, text, and contact voters
  • Experience on Google Cloud Platform
  • Experience in on-call rotations and mentoring less-experienced engineers

Responsibilities

  • 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
  • Shape the pipelines and integrations feeding our RCT platform and our foundational voter datasets: the APIs, replication, federation layers, experiment randomization, and the failure modes that come with running data systems for hundreds of partner organizations on a non-negotiable political calendar
  • Extend our data platform and orchestration layer, and optimize it for cost, runtime, and reliability so it holds up during the elections, with millions of outreach attempts
  • Lead projects that span multiple systems and teams — scoping, designing, and driving them to real milestones
  • Hold the bar on quality — test and validate your own work, review teammates' code, and mentor through that review
  • Document and communicate — make your systems understandable to teammates, stakeholders, and non-engineers
  • Rotate through on-call and rapid response, including evenings and weekends during high-stakes moments like election cycles

Benefits

  • Excellent health, dental, and vision benefits
  • 401(k) matching
  • Unlimited Paid Time Off (vacation time is limited during Election Sprint, August 24–November 3)
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