Founding Data Engineer / Data Scientist — Payments & Fraud

About This Role

As a Founding Data Engineer / Data Scientist, you will establish and own the data systems for payments and fraud, designing and building the data foundation to support internal decision-making, merchant reporting, and audit-ready metrics.

Responsibilities

• Design and implement end-to-end data pipelines for payments and fraud reporting
• Build canonical data models that support internal KPIs, merchant-facing dashboards, compliance and audit needs, and fraud and risk analysis
• Handle real-world data challenges such as duplicate events, out-of-order delivery, partial captures and refunds, disputes and corrections
• Establish data quality checks and reconciliation logic to ensure accuracy
• Enable self-service analytics for payments and fraud teams
• Document data models, pipelines, and assumptions clearly
• Work closely with engineering, product, and business stakeholders
• Take full ownership of the domain as the first data hire

Requirements

• Strong experience in data engineering and/or data science
• Proven track record building production data systems used for critical reporting
• Excellent SQL and data modeling skills
• Experience working with transactional or event-driven systems
• Comfort handling ambiguity and making pragmatic tradeoffs
• Strong communication skills
• An ownership mindset

Nice to Have

• Experience in fintech, payments, fraud, or other risk-sensitive domains
• Familiarity with data warehouses, ETL/ELT tools, and analytics platforms
• Experience designing systems with auditability and compliance in mind

Skills

* Required skills

Benefits