Finance Data EngineerCerebras • San Francisco, CA, United States
Finance Data Engineer
Cerebras • San Francisco, CA, United States
8 days ago
Job type
- Full-time
Job descriptionBuild 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.). 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. 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.
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
What You’ll Bring
Nice to Have
Why You’ll Love It Here
Compensation Range : $120K - $180K
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Data Engineer • San Francisco, CA, United States
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