We’re looking for a Finance Data Engineer to help automate, connect, and optimize the financial backbone of our business. You’ll 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 you’ll translate financial logic into scalable data workflows — improving accuracy, speed, and visibility across our systems.

What You’ll Do

• 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.).

What You’ll Bring

• 3–6 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.

Nice to Have

• 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.

Why You’ll Love It Here

• Opportunity to build the financial data foundation from scratch.

• High visibility across Finance, Data, and CX functions.

• Collaborative team culture — you’ll work closely with both technical and non-technical stakeholders.

• Competitive salary, equity, and comprehensive benefits package.

Compensation Range: $120K - $180K