Data Engineer - Finance

Cognition • San Francisco, CA

13d • Onsite

About The Position

We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
We’re hiring a Data Engineer to help own our data stack — from database architecture and pipelines to integrations and reporting. You’ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.
In this role you will:

Requirements

• 5+ years in a data engineering, analytics engineering, or a full-stack data role
• Expert SQL and strong Python (or R)
• Experience with data modeling, warehouse architecture, and BI-oriented schema design
• Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
• Experience building or maintaining BI reporting (Metabase a plus)
• Proven track record collaborating with finance stakeholders to deliver impactful solutions
• Experience with FP&A processes, close workflows, and financial reporting
• Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts
• Based in SF and willing to be in office 5 days a week

Responsibilities

• Design and manage database architecture and data models with a focus on finance and accounting use cases
• Build and maintain ETL/ELT pipelines and orchestration workflows
• Create and manage data integrations across internal and external financial systems
• Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets
• Support close processes, FP&A workflows, and revenue reporting through scalable data infrastructure
• Own business reporting: datasets, dashboards, metrics, and self-serve analytics
• Ensure data quality, observability, governance, and documentation

What This Job Offers

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