Data Engineer, Finance

Cognition Cognition · Coding AI · San Francisco, CA · General & Administrative

Data Engineer role at an applied AI lab building AI software agents (Devin, Windsurf). This role focuses on owning the data stack for the Finance and Accounting organization, including database architecture, ETL/ELT pipelines, integrations, and reporting. The role requires significant experience in data engineering, SQL, Python, data modeling, and ETL tools, with a strong emphasis on supporting financial processes and stakeholders.

What you'd actually do

  1. Design and manage database architecture and data models with a focus on finance and accounting use cases
  2. Build and maintain ETL/ELT pipelines and orchestration workflows
  3. Create and manage data integrations across internal and external financial systems
  4. Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets
  5. Support close processes, FP&A workflows, and revenue reporting through scalable data infrastructure

Skills

Required

  • Data Engineering
  • Analytics Engineering
  • SQL
  • Python
  • Data Modeling
  • Warehouse Architecture
  • BI Schema Design
  • ETL/ELT tools (dbt, Airflow, Dagster)
  • Financial Reporting
  • FP&A processes
  • Close workflows

Nice to have

  • Metabase

What the JD emphasized

  • 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.)
  • Proven track record collaborating with finance stakeholders to deliver impactful solutions
  • Experience with FP&A processes, close workflows, and financial reporting