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Finance Data Engineer
Finance Data EngineerCerebras • San Francisco, CA, United States
Finance Data Engineer

Finance Data Engineer

Cerebras • San Francisco, CA, United States
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Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Engineering

Compensation

  • $120K – $180K
  • Offers Equity

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

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