Founding Data Engineer / Data Scientist — Payments & Fraud
About The Position
About Accrue Accrue is redefining how brands turn payments into loyalty. We help enterprise merchants launch their own branded wallets. About the Role We’re looking for a Founding Data Engineer / Data Scientist to own data systems for our payments and fraud domain. This is our first dedicated data role in this area. You’ll design and build the data foundation that powers internal decision-making, merchant reporting, and audit-ready metrics. This role is hands-on, high-impact, and ideal for someone who enjoys building from scratch and owning outcomes end to end. This is not a dashboards-only role. You’ll work close to transactional systems and real-world events, solving hard problems around correctness, reconciliation, and trust.
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—you can explain complex data problems clearly
- An ownership mindset: you don’t wait to be told what to fix
Nice To Haves
- 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
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 fraud and risk analysis
- Handle real-world data challenges: 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
Benefits
- No-cost and low-cost health plan options for employees and dependents
- Company contributed 401k
- An empathetic team that values mental wellness and work/life balance
- A brand new NYC office!
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
