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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.

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.

Average salary estimate

$165000 / YEARLY (est.)
min
max
$140000K
$190000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
October 11, 2025
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