Analytics Engineer

This is a temporary role expected to run through November 15, 2026. While there may be the potential for extension or conversion to a full-time role depending on business needs, candidates should apply with the understanding that the position is currently scoped as a fixed-term role, non-eligible for benefits.
 
The Analytics Engineer will turn raw voter, district shape, and product data into clean, well-modeled, trustworthy datasets that power dashboards, pipelines, and the tools our partners rely on every day. This role ensures that decision-makers across Civitech and our partner organizations are working from clean data they can trust, ultimately contributing to our mission of increasing civic participation and supporting progressive causes.

Civitech's Values

• We act with Integrity – At Civitech, we hold ourselves to the highest standards and value open and transparent communications with all of our stakeholders. Our rigorous approach to product design, testing, and data science leads to accurate assessments of our outcomes and challenges us to constantly improve our tools.
• We are Changemakers – As a team, Civitech seeks to make transformational change in our democracy by eliminating obstacles meant to hamper contribution from every member of the community.
• We are Collaborators - Buoyed by our mission, we look for opportunities to partner with everyone committed to making democracy easier to participate in. We seek to understand the challenges our partners face and use our skills and creativity to help them solve them.
• We are Bold – We recognize that disruptive change won't come with doing business as usual. Civitech seeks to revolutionize civic participation by bringing innovation and creativity to politics.

What You Will Do

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.

About You

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.
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.
Committed to leveraging technology and data products to help Democratic candidates run for office and win, empower progressive causes, and increase civic participation.