Data Engineer, Financial Systems

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.About the RoleReplit is redefining how software is built, and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. To realize this vision, we are building a brand that is as iconic, inventive, and human as the product itself.We need a Financial Systems Data Engineer to build the data infrastructure that ensures we can accurately recognize revenue, reconcile payments, pass audits, and make sound financial decisions as we scale. This Data team role works cross-functionally with Finance, Accounting, and Sales to build the systems they depend on. You'll own the data models and pipelines that power financial reporting, billing reconciliation, and revenue operations. This is a building role, we need someone who can own the financial data domain end-to-end.You will: Build unified data models for payments and subscriptions across all revenue streams (Stripe, App Store, Play Store) to enable accurate MRR analysis, revenue recognition, and financial reporting.Design automated reconciliation pipelines and audit trails that surface payment discrepancies and data quality issues before they impact month-end close or financial audits.Create foundational billing infrastructure for AI agent usage and consumption products, managing the end-to-end flow from metering to revenue recognition while partnering with Engineering, Finance, and Sales Operations.Required skills and experience7+ years in data engineering with significant exposure to financial and payments dataDeep experience with Stripe or similar billing data models—you understand the relationship between subscriptions, invoices, payment intents, charges, and balance transactionsStrong understanding of SaaS financial metrics (ARR, MRR, churn, expansion) and how they're calculated from raw payment dataExperience building reconciliation pipelines and automated discrepancy detectionExpert-level SQL and dbt proficiency—you'll own financial data models end-to-endTrack record working directly with Accounting and Finance teams on data accuracy requirementsExperience operating in ambiguous environments where you define the requirements, not just execute themPreferred Qualifications:Understanding of revenue recognition principles (ASC 606 basics)Experience with mobile app store financial reporting (App Store Connect, Google Play Console)Familiarity with usage-based and consumption billing modelsExperience preparing data infrastructure for audits (SOC 2, financial audits)Exposure to billing/subscription, tax and payments management systems (Orb, Chargebee, Recurly, or similar)Bonus Points:You understand that "close enough" isn't acceptable for financial data—pennies matterYou've debugged payment discrepancies and know the satisfaction of finding the root causeYou've built data infrastructure from scratch, not just maintained existing systemsYou're comfortable making decisions with incomplete information and adjusting as you learnYou treat data quality issues as engineering problems to solve, not business problems to escalateYou've identified and solved problems no one asked you to solveThis is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn m ... (truncated, view full listing at source)