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Data Engineer (Strategic Finance)
Whop · Palo Alto, United States
About The Role
Join Whop, a fast-growing fintech company, as our first dedicated Data Engineer in Strategic Finance. In this hands-on engineering role, you will build datasets, models, and metrics that turn raw data into actionable insights, helping to drive decision-making across the organization. You will also be responsible for building and owning data pipelines, defining and standardizing financial metrics, and creating intuitive dashboards for stakeholders. This role offers unlimited PTO, health benefits, and access to a state-of-the-art gym.
- Construire des ensembles de données, des modèles et des métriques qui transforment le signal brut en réponses rapides et fiables.
- Écrire du code de production et expédier des modifications directement aux produits financiers de Whop.
- Définir et standardiser la logique des métriques financières et opérationnelles afin qu'une métrique signifie une chose dans toute l'organisation.
- Proven experience defining financial and operating metrics and resolving data inconsistencies across complex, multi-system pipelines
- A strong communicator comfortable with ambiguity, building trust across Finance, Product, GTM and Exec partners
- Strong grounding in version control (GitHub), CI/CD, testing, and documentation as defaults, not afterthoughts
- 3+ years in Data Engineering, Analytics Engineering, or a closely related role, ideally in a high-growth or fintech environment
- Bias for action: you ship usable, iterative data models that deliver value now over waiting on the perfect architecture
- Deep expertise in SQL and Python, plus a modern transformation and warehouse stack (dbt + BigQuery preferred; Snowflake/Redshift equivalent fine)
- Working knowledge of financial concepts: revenue, margin, LTV/CAC, retention/churn, and the difference between an accounting number and a product metric
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