Climate Cabinet

Climate Cabinet is seeking a Contract Data Engineer to enhance and maintain our vital data infrastructure and tooling. This role is pivotal in identifying and leveraging opportunities to support the election of pro-climate candidates in overlooked but impactful electoral positions, and the passage of impactful pro-climate legislation in state houses across the country. Enhance and maintain Climate Cabinet's vital data infrastructure and tooling. Support Climate Cabinet’s small, tight-knit engineering team (the “Tech Team”). Scope of Work Data Infrastructure and Pipeline Development: Design and maintain robust backend systems, data pipelines, and cloud-based storage and processing to support large-scale electoral and civic data analysis. Data Integration and Management: Ensure the accuracy and completeness of data related to 500,000+ local offices, and regularly update our databases with external data sources like LegiScan and Open States for up-to-date legislative information, demographics, and climate data. Application Development: Build out the internal toolset with applications that streamline operations, such as custom database interfaces for tracking electoral data and fundraising activities. Data Analysis and Visualization: Develop defensible, well-thought-through methodologies for calculating useful metrics. Analyze and generate data visualizations to support Political, Policy, Comms, and Development teams, enforcing high standards for analysis quality and accurate data-driven storytelling. AI Infrastructure and Tool Development: Build out AI-powered tools and connect Climate Cabinet datasets to provide powerful self-serve policy analysis and data visualization tools to the broader team. Sample Projects Build out Climate Cabinet’s repository of district-level data and expand tooling to support the creation of district-specific legislator briefs. Expand and future-proof Climate Cabinet’s political candidate metrics system to improve understanding of how competitive an incumbent legislator is in their district. Build a data pipeline and basic visualization interface for state-level campaign finance data.