Lead Data Engineer

Atticus • Los Angeles, CA

21h • Remote

About The Position

At Atticus, we help people in crisis get legal and government aid. We've become a leading platform connecting people with disabilities to government benefits and assisting victims of accidents, misconduct, and violence. We've helped hundreds of thousands access over $10B in aid and have raised over $100 million from top VC firms, closing our Series C in April 2025. Our team grew from 151 to 210 in 2025 and will continue to grow in 2026. This role is for the first in-house Data Engineer to own and evolve our core data infrastructure. It's an early and high-impact position, offering a real voice in shaping the data engineering function's processes, standards, and team culture. The role sits at the intersection of Engineering and Business Operations, involving building reliable, scalable systems and translating business needs into well-designed data products. You will collaborate closely with data scientists, business analysts, and product leaders to ensure our data is clean, accessible, and trustworthy. This is a rare opportunity to join a fast-growing Series C startup that is also a B-corp social enterprise, where every project helps clients in need and contributes to shaping the company culture.

Requirements

• 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 Dagster or Airflow
• Strong SQL skills and fluency in Golang, Python, or another common Data Engineering language
• Track record of improving or modernizing data systems iteratively - you're comfortable inheriting legacy infrastructure and systems and making them progressively better
• Strong communication and collaboration skills - able to work fluidly across both technical and business-oriented teams

Nice To Haves

• Experience transitioning data infrastructure from an outsourced or contractor model to an in-house team
• Familiarity with data observability tools
• Experience supporting or collaborating with a data science function, including ML feature pipelines

Responsibilities

• 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 modernize our existing data systems - you won't build everything from scratch, but you'll know how to assess what we have, prioritize what matters, and migrate thoughtfully
• Implement data quality monitoring, alerting, and documentation practices that build trust across the organization

Benefits

• Competitive pay—including equity
• Generous benefits
• Medical and dental insurance with 100% of employee premiums covered
• 15 vacation days & ~20 paid holidays each year (including two weeks at end-of-year)
• Free membership to OneMedical
• $600/year reimbursable stipend for internet service
• $1,000 reimbursable stipend for education and training outside of work
• Up to $1,200/year student loan repayment assistance
• 401(k) and optional HSA/FSA

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed