Financial Data Operations Engineer

Team and role

What you'll do

• Build Excel-based finance solutions, templates, data integrations, and AI-powered workflows to improve accuracy and reduce manual work.
• Connect finance workflows to data platforms with the Analytics team so users can access clean, reliable data.
• Provide office hours, bootcamps, and training to support forecasting, self-service financial data access, and application development.
• Find finance problems suitable for data-driven automation and help implement solutions.
• Advise leadership on improving organizational effectiveness.

Required qualifications

• At least four years of experience in finance, operations, or data analysis; large-scale data integration and financial modeling experience is ideal.
• Deep understanding of Databricks or Palantir Foundry or dbt, Redshift, Looker or Tableau, and Dagster.
• Comfort with cross-functional work spanning technical needs and user-focused workflows.
• Empathy for users, self-starting behavior, and motivation to drive ambiguous projects and business impact.

Preferred qualifications

• Defense-sector FP&A, financial modeling, or forecasting experience.
• Production experience with AI/LLM-powered tooling and automation.
• Experience launching tools and managing adoption, training, and iteration.
• Experience operating in SOX-compliant data platforms.

Compensation

• The listed salary range is $147,000–$196,000 yearly; the description says salary estimates are based on compensation factors and that most full-time offers include equity grants.

Benefits

• The description mentions a comprehensive benefits package for full-time employees.