Analytics Engineer

Civitech • Austin, TX

3d • Remote

About The Position

Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building the tools and infrastructure needed to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes. Since its founding in 2019, over 500 partners -- a range of nonprofit organizations, national political committees, and individual campaigns -- have utilized Civitech’s tools to reach tens of millions of voters to help create a more equitable and progressive democracy.
Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO, DC, DE, FL, GA, HI, IL, MA, MD, MN, NC, ND, NH, NJ, NV, NY, OH, SD, TN, TX, VA, WA, WI, WY); Civitech does have an office in Austin, TX.
It is important that our team reflects the diversity of the organizations we seek to serve. We strongly encourage women, people of color, LGBTQIA+ people, and others otherwise underrepresented in the technology sector to apply.
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.

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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed