Analytics Engineer

Civitech is a public benefit corporation focused on enhancing civic participation and supporting progressive causes through innovative tools and infrastructure. The Analytics Engineer will transform raw data into trustworthy datasets, ensuring decision-makers have access to clean data that supports the organization's mission. This role involves collaborating with various teams to improve data quality and documentation practices.

Responsibilities:

• Build and maintain dbt models that transform raw data from multiple sources into clean, tested, well-documented datasets
• Partner with data scientists, engineers, and product teams to translate ambiguous questions into durable data models rather than one-off queries
• Improve data quality across the stack by writing tests, defining expectations for critical models, and triaging issues when something looks wrong
• Document models, metrics, and lineage so engineers, analysts, and partner organizations can self-serve with confidence
• Use Python where it's the right tool — for orchestration, ad-hoc work, or transformations that don't belong in dbt
• Raise the bar on analytics engineering practices, including code review, modeling conventions, CI for data, and documentation standards
• Perform additional engineering and data duties as needed to support the broader team

Requirements:

• 3+ years of experience in analytics engineering, data engineering, or a closely related role where modeling data was central to the job
• Strong SQL skills and production experience with dbt, including tests, documentation, and a sensible approach to project structure
• Comfortable in Python for data work, including pandas, scripting, and lightweight automation
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift, or similar) and an instinct for writing SQL that performs well at scale
• A bias toward clarity — you write models, tests, and documentation that other people can actually use
• Comfort with ambiguity. Political and civic data is messy and timelines are real; you can move quickly without leaving a mess behind you
• Committed to leveraging technology and data products to help Democratic candidates run for office and win, empower progressive causes, and increase civic participation
• Familiarity with voter file data, VAN/EveryAction, or other political/civic data sources is a plus
• Experience with orchestration tools (Airflow, Dagster, Prefect) or modern data ingestion (Fivetran, Airbyte) is an advantage