Finance Data Engineer

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.

• Build and maintain financial data pipelines — automate ingestion and processing of data from systems like Stripe, Quick Books, Rippling, Salesforce, and our internal product databases.
• Design ETL/ELT workflows to unify revenue, expense, and customer data into a centralized warehouse (Snowflake/Big Query/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.).

• 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., Quick Books, Net Suite, Ramp, Rippling, Stripe, ).
• Solid understanding of financial data structures — GL, P&L, balance sheet, ARR/MRR metrics, etc.
• Familiarity with data warehouses (Snowflake, Big Query, 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 — you’ll work closely with both technical and non-technical stakeholders.
• Competitive salary, equity, and comprehensive benefits package.