Data Engineer, Strategic Finance

About the role

We're hiring our first dedicated Data Engineer inside Strategic Finance. The role involves making everyone at Whop smarter with the insights hidden in our data and changing how the company makes decisions. Key responsibilities include:

• Turning data into decisions
• Shipping Whop financial products
• Building and owning ingestion pipelines
• Defining and standardizing financial metrics
• Partnering with leadership to ship intuitive, trustworthy Metabase dashboards
• Establishing data modeling conventions, testing, documentation, and access controls

Responsibilities

Turn data into decisions. Find the insights that change what Whop does—surface trends, risks, and opportunities in payments, growth, and unit economics, and get them in front of the right people in a form they can act on immediately.

Ship Whop financial product. Write production code and build features on Whop Financial Reports so it's reliable enough to close the books on and useful to every merchant.

Build and own the ingestion pipelines. Ingest and backfill payment-processor settlement data into the ledger, at scale and across currencies and geographies, so reported financials are complete and accurate always.

Own the financial semantic layer. Define and standardize metric logic (GMV/GTV, revenue, take rate, contribution margin, COGS/GP per business, LTV/CAC, retention/cohorts, chargeback and dispute rates) so one metric means one thing across the organization.

Set standards. Establish data modeling conventions, testing, documentation, and access controls, and own data quality and lineage across the stack.

Requirements

3+ years in Data Engineering, Analytics Engineering, or a closely related role, ideally in a high-growth or fintech environment.

Deep expertise in SQL and Python, plus a modern transformation and warehouse stack (dbt + BigQuery preferred; Snowflake/Redshift equivalent fine).

Proven experience defining financial and operating metrics and resolving data inconsistencies across complex, multi-system pipelines.

Strong grounding in version control (GitHub), CI/CD, testing, and documentation as defaults, not afterthoughts.

Working knowledge of financial concepts: revenue, margin, LTV/CAC, retention/churn, and the difference between an accounting number and a product metric.

Bias for action: you ship usable, iterative data models that deliver value now over waiting on the perfect architecture.

A strong communicator comfortable with ambiguity, building trust across Finance, Product, GTM and Exec partners.

Qualifications

Compensation & Benefits

Competitive base salary, meaningful equity, and full benefits. Target base range: $200,000-$300,000, depending on level and experience.

This role can flex to a Senior level for the right candidate.