Analytics Engineer at Civitech in Remote

Summary: 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: SQL, dbt, Python, pandas, Cloud data warehouse, Airflow, Dagster, Prefect, Fivetran, Airbyte, Voter file data, VAN/EveryAction, Comfort with ambiguity