Finance Data Engineer

San Francisco

Full time

On-site

Engineering

• $120K $180K Offers Equity

Were looking for a Finance Data Engineer to help automate, connect, and optimize the financial backbone of our business. Youll build reliable data pipelines, automate manual finance and accounting processes, and enable data-driven decision?making across Finance, Accounting, and Customer Experience teams.

This is a high?impact role where youll translate financial logic into scalable data workflows improving accuracy, speed, and visibility across our systems.

• Build and maintain financial data pipelines automate ingestion and processing of data from systems like Stripe, QuickBooks, Rippling, Salesforce, and our internal product databases.
• Design ETL/ELT workflows to unify revenue, expense, and customer data into a centralized warehouse (Snowflake/BigQuery/Redshift).
• Automate manual finance and accounting workflows, including reconciliations, invoice tracking, ARR reporting, and customer billing analytics.
• Partner with Finance and Accounting teams to translate business requirements into data models and dashboards.
• Collaborate with Customer Experience and Operations teams to ensure accurate visibility into billing, refunds, collections, and customer?level financial metrics.
• Develop and maintain dashboards in tools like Looker, Tableau, or Metabase for financial and operational insights.
• Ensure data integrity across systems through validations, reconciliation checks, and monitoring.
• Implement scalable automation for recurring reporting and compliance workflows (month?end close, revenue recognition, etc.).

• 36 years of experience in Data Engineering, Analytics Engineering, or Finance Systems Engineering (startup or SaaS experience preferred).
• Strong proficiency in SQL, Python, and ETL tools (dbt, Airflow, Fivetran, or similar).
• Experience working with finance systems (e.g., QuickBooks, NetSuite, Ramp, Rippling, Stripe, Bill.com).
• Solid understanding of financial data structures GL, P&L, balance sheet, ARR/MRR metrics, etc.
• Familiarity with data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau, Metabase).
• Strong analytical and problem?solving skills with a systems?first mindset you see manual spreadsheets and think pipeline.
• Comfortable working cross?functionally with Finance, Accounting, CX, and Data teams.

• Experience with customer billing and revenue data in B2B SaaS environments.
• Interest in startup environments where you can move fast, experiment, and shape systems from the ground up.

• Opportunity to build the financial data foundation from scratch.
• High visibility across Finance, Data, and CX functions.
• Collaborative team culture youll work closely with both technical and non?technical stakeholders.
• Competitive salary, equity, and comprehensive benefits package.

Compensation Range: $120K - $180K