Lead Data Engineer

About Atticus At any given time, 16 million Americans are experiencing a crisis that requires urgent help from our legal system or government. The right assistance could transform their lives. But today, most never get it. Atticus makes it easy for any sick or injured American to get life-changing aid. Our mission is to tear down barriers between people in crisis and the aid they deserve. In the last six years, we’ve become the leading platform connecting people with disabilities to government benefits. We also help victims of accidents, misconduct, and violence get compensation from insurance. So far, we’ve helped hundreds of thousands of people access over $10 billion in life-changing aid —and earned over 20,000 five-star reviews. And we’re just getting started. We've raised more than $100 million from top VC firms like Fika, Forerunner, Google Ventures, and True Ventures, and we’re on our way to creating a category defining business assisting needy Americans. The Job We are looking for our first in-house Data Engineer to own and evolve our core data infrastructure. This is an early and high-impact role. As the data engineering function grows under Engineering, you'll have a real voice in shaping how it's built - the processes, standards, and team culture. You'll sit at the intersection of our Engineering and Business Operations teams, which means you'll spend your tim [... source excerpt omitted ...] to well-designed data products. You'll work closely with data scientists, business analysts, and product leaders to make sure our data is clean, accessible, and trustworthy. What You'll Do Own and operate our data warehouse, pipelines, and transformation layer Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights Incrementally improve and [... source excerpt omitted ...] ust across the organization The role is a rare opportunity to join a fast-growing Series C startup that doubles as a B-corp social enterprise. Every project you take on will help clients in need get the help they deserve, and you’ll shape our company culture as we scale. We’re looking for data scientists who are excited about our mission and the challenges it entails. Qualifications Required: 4+ years of professional experience in data engineering, ideally at a high-growth startup or fast-moving team within a larger organization Hands-on experience with the modern data stack - proficiency with BigQuery (or a comparable cloud warehouse), dbt, and an orchestration tool like