Responsibilities:
- Build and maintain dbt models that transform raw voter, district shape, and product data into clean, tested datasets.
- Partner with cross-functional teams to translate ambiguous questions into durable data models, improving data quality through tests and triage.
- Document models and metrics for self-service use by engineers, analysts, and partner organizations.
Requirements:
- 3+ years of experience in analytics engineering, data engineering, or a closely related role with strong SQL and dbt skills.
- Comfortable in Python for data work and experience with cloud data warehouses like Snowflake or BigQuery.
- A bias toward clarity in writing models and documentation, with comfort handling ambiguous and messy political data.
Additional Information:
- This is a temporary role expected to run through November 15, 2026, with potential for extension based on business needs.
- The role requires commitment to leveraging technology to support Democratic candidates, progressive causes, and increased civic participation.
- Candidates must be eligible to work in the US, as Civitech does not provide visa sponsorship and utilizes E-Verify.
Civitech
Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building tools and infrastructure to increase civic participation and empower progressive causes. It is a remote-first company with a team operating across 27 US states, focused on collaborative and bold innovation in the political technology sector.