FP&A Data Engineer
You will design, build, and maintain the FP&A data warehouse and pipelines that power management reporting, PnL analytics, budgeting, and KPI tracking. You will implement automated reconciliation and testing, modernize legacy models, and provide accessible data for ad-hoc analyses. You will leverage Python, SQL, and AI tools to improve workflows and ensure data integrity.
Responsibilities
- Architect and own the FP&A insights data warehouse
- Build and evolve PnL attribution and KPI generation models using Python and SQL
- Implement automated reconciliation frameworks to ensure data integrity
- Manage cross-functional initiatives to modernize legacy FP&A models
- Integrate data governance, version control, and testing across development workflows
- Provide accessible data to support ad-hoc analyses for the business and CFO organization
- Adopt and apply AI tools to improve team productivity and decision-making
Requirements
- 6+ years of progressive data engineering experience
- Deep expertise in Python and SQL
- Detailed working knowledge of relational and non-relational data structures
- Experience with ETL processes and data pipeline development
- Experience with unit and integration testing for data workflows
- Familiarity with asset classes (FX, futures, options) and PnL/capital modeling
- Experience working with large, unstructured datasets
- Intellectually curious self-starter comfortable in ambiguity and fast-paced environments
- Highly detail oriented with strong communication skills
- Open to hiring at VP or Director level
Benefits
- Flexible Time Off (unlimited paid vacation days)
- Company paid holidays (11)
- Company paid sick leave
- Company-paid health and protective benefits for employees, partners, and other dependents
- 3% 401(k) company contribution
- Competitive family planning benefits for US employees
- Generous paid parental leave
- Free virtual coaching and counseling sessions through Headspace
- Free daily snacks in-office
- Employee Resource Groups