Marqeta

Senior Data Engineer – Risk, Fraud & Disputes

Marqeta

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $134,400 - $168,000 per year

Job Level

Senior

Tech Stack

AirflowETLSQLTableau

About the role

  • You will partner with Risk, Fraud and Disputes Engineers and Product Managers to deeply understand business needs and translate them into actionable data-driven solutions
  • You will lead the creation of high-quality labeled datasets that power supervised machine learning, rules-based fraud detection and predictive chargeback modeling
  • You will collaborate closely with Machine Learning and Backend Teams to productionize data assets and enable scalable, reliable decisioning systems
  • You will analyze large-scale transactional, fraud and chargeback datasets to surface trends, detect anomalies and support deep-dive investigations (e.g., Chargeback win/loss rates, Fraud rates, anomalous Merchant behaviour etc.)
  • You will build and maintain real-time dashboards and reporting mechanisms that provide leadership, operations and product teams with visibility into critical KPIs across Risk, Fraud and Disputes
  • You will identify and recommend data improvements to strengthen fraud and chargeback detection capabilities and reduce false positives and false negatives
  • You will act as a domain expert on fraud and dispute data, supporting internal investigations and responding to customer-facing data queries with clarity and accuracy
  • You will partner with Finance and Operations to answer business-critical questions related to dispute performance, costs and trends
  • You will collaborate with Engineering to design, validate and maintain Airflow pipelines and ETL workflows that support scalable and resilient data infrastructure

Requirements

  • You bring 5+ years of experience in data analytics, data science, or data engineering, ideally in risk, fraud, disputes, payments or financial services and are comfortable driving outcomes with limited direction
  • You are an expert in SQL, including analytical functions, performance optimization, and ETL best practices and consistently elevate data quality and efficiency
  • You have deep domain expertise in risk and fraud signals, dispute patterns or related behavioral datasets, and can proactively support emerging risks or anomalies
  • You demonstrate strong analytical intuition and can transform ambiguous business questions into structured, impactful analyses and actionable recommendations
  • You have significant experience with data visualization tools (e.g., Looker, Tableau) and can translate insights into dashboards and narratives that influence decision-making
  • You excel at shaping technical solutions, data models, and architectures that support robust analytics and scalable ML/data applications
  • You are comfortable operating in ambiguous, fast-moving environments and can balance precision with urgency in high-stakes decision contexts
  • You communicate with clarity and influence, and collaborate effectively with cross-functional leaders across Product, Engineering and Operations
  • You are proficient with modern data tooling (e.g., Airflow, dbt) and understand how to design, maintain, and scale ELT/ETL workflows
Benefits
  • Multiple health insurance options
  • Flexible time off – take what you need
  • Retirement savings program with company contribution and after tax contributions
  • Equity in a publicly-traded company and an Employee Stock Purchase Program
  • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
  • Free therapy sessions, financial and professional coaching, and legal advice
  • Monthly stipend to support our remote work model
  • Annual “development dollars” to support our people growth and development
  • Through Flex First, the freedom to live and work wherever you and your family thrive

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analyticsdata sciencedata engineeringSQLETLdata visualizationmachine learningdata modelinganalyticspredictive modeling
Soft skills
analytical intuitioncommunicationcollaborationproblem-solvinginfluenceadaptabilityclarityleadershipdecision-makingcritical thinking