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Movement Labs

Senior Data Engineer

Movement Labs

Data Engineer supporting innovative progressive political efforts through advanced data architecture. Responsibilities include building scalable data systems and leading technical projects.

Posted 4/25/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $90,000 - $119,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • Passionate about progressive politics and leveraging data, technology, organizing and research to build political power
  • 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.
  • Nice to Have: 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

Benefits

Comp & perks
  • Full year equivalent salary of **$90,000–$99,000 for Data Engineer (Level 3) **or** $110,000-$119,000 for Senior Data Engineer (Level 5) **as part of a transparent salary structure with clear levels of advancement, and an additional Cost-of-Living salary Adjustment.
  • Excellent health, dental, and vision benefits, 401(k) matching, and unlimited Paid Time Off (vacation time is limited during Election Sprint, August 24–November 3).
  • Remote-first culture with teammates across the country.
  • These positions are temporary and will run through November 20. We love to keep top performers if possible.
  • These positions are not eligible for the collective bargaining unit.

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Hard Skills & Tools
SQLPythondata architecturedata pipelinesdata integrationsload testingexperimental frameworksdata quality controldata documentationdata optimization
Soft Skills
leadershipcommunicationproblem-solvingmentoringcollaborationjudgmentdocumentationproject managementadaptabilitycommitment