Founding Data Engineer / Data Scientist — Payments & Fraud at Accrue

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

180000.0

Posted On

12 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Science, SQL, Data Modeling, Transactional Systems, Event-Driven Systems, Data Quality Checks, Reconciliation Logic, Self-Service Analytics, Communication Skills, Ownership Mindset, Fintech, Payments, Fraud, Risk Analysis, ETL Tools

Industry

Banking

Description

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. What you’ll do 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 What we’re looking for 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 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 What success looks like Payments and fraud metrics are accurate, trusted, and well understood Data discrepancies are rare, detectable, and explainable Teams can answer questions without relying on ad-hoc engineering help Reporting scales as new products and merchants are added You’ve built a solid foundation for future data hires Benefits & perks 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! Work Authorization Accrue does not provide employment sponsorship. Candidates must be currently authorized to work in the United States on a full-time basis. Salary Information The range listed below is just one component of Accrue's total compensation package; This role will receive a competitive salary + benefits + equity. The salary range is for US-based employees located in the listed market. Other benefits include those listed above such as healthcare and 401k with 3% contribution. Salary Range $150,000—$180,000 USD Accrue is an equal opportunity employer committed to fostering an inclusive, innovative environment. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at talent@accruemoney.com.

Responsibilities

Design and implement end-to-end data pipelines for payments and fraud reporting while building canonical data models. Handle real-world data challenges and establish data quality checks to ensure accuracy.