[Hiring] Senior Data Engineer @MQ Referrals Only

Role Description

As Marqeta’s Senior Data Engineer, you will join our Risk, Fraud and Disputes Engineering Team. In this cross-functional and strategic role, you will own the design and development of scalable, reliable data assets that drive real-time fraud detection, dispute operations, and regulatory reporting.

You will be instrumental in bridging data engineering with analytical needs, enabling high quality decisions through structured, labeled data and actionable insights using machine learning models.

We work Flexible First. This role can be performed remotely in the United States, only in one of our Premium or National locations.

The Impact You’ll Have

• Partner with Risk, Fraud and Disputes Engineers and Product Managers to deeply understand business needs and translate them into actionable data-driven solutions.
• Lead the creation of high-quality labeled datasets that power supervised machine learning, rules-based fraud detection and predictive chargeback modeling.
• Collaborate closely with Machine Learning and Backend Teams to productionize data assets and enable scalable, reliable decisioning systems.
• Analyze large-scale transactional, fraud and chargeback datasets to surface trends, detect anomalies and support deep-dive investigations.
• 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.
• Identify and recommend data improvements to strengthen fraud and chargeback detection capabilities and reduce false positives and false negatives.
• Act as a domain expert on fraud and dispute data, supporting internal investigations and responding to customer-facing data queries with clarity and accuracy.
• Partner with Finance and Operations to answer business-critical questions related to dispute performance, costs and trends.
• Collaborate with Engineering to design, validate and maintain Airflow pipelines and ETL workflows that support scalable and resilient data infrastructure.

Qualifications

• 5+ years of experience in data analytics, data science, or data engineering, ideally in risk, fraud, disputes, payments or financial services.
• Expert in SQL, including analytical functions, performance optimization, and ETL best practices.
• Deep domain expertise in risk and fraud signals, dispute patterns or related behavioral datasets.
• Strong analytical intuition and ability to transform ambiguous business questions into structured, impactful analyses and actionable recommendations.
• Significant experience with data visualization tools (e.g., Looker, Tableau).
• Ability to shape technical solutions, data models, and architectures that support robust analytics and scalable ML/data applications.
• Comfortable operating in ambiguous, fast-moving environments.
• Effective communication skills and ability to collaborate with cross-functional leaders across Product, Engineering and Operations.
• Proficient with modern data tooling (e.g., Airflow, dbt).

Requirements

• Experience labelling data for Machine Learning models or partnering with Machine Learning Engineers on future creation.
• Understanding of card network chargeback rules, fraud reason codes, or dispute lifecycle.
• Experience with Python or R for advanced analytics or light Machine Learning tasks.

Compensation and Benefits

• Flex First company allowing you to choose your best working environment.
• Competitive pay calibrated according to working location.
• Base salary range for this position: National: $134,400 - $168,000; Premium: $139,700 - $174,600.
• Annual bonuses to eligible employees based on individual performance and company success.
• 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.
• Flex First provides the freedom to live and work wherever you and your family thrive.