Marqeta · 1 month ago
Senior Data Engineer - Risk, Fraud & Disputes
United States
Full-time
Remote
Senior Level
$134K/yr - $168K/yr
5+ years expMarqeta is a Flex First company specializing in risk, fraud and disputes solutions. As a Senior Data Engineer, you will design and develop scalable data assets to enhance fraud detection, dispute operations, and regulatory reporting, while collaborating with cross-functional teams to drive data-driven decisions.
Credit CardsCryptocurrencyDebit CardsFinTechPayments
Responsibilities
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
Qualification
Required
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
Expert in SQL, including analytical functions, performance optimization, and ETL best practices and consistently elevate data quality and efficiency
Deep domain expertise in risk and fraud signals, dispute patterns or related behavioral datasets, and can proactively support emerging risks or anomalies
Strong analytical intuition and can transform ambiguous business questions into structured, impactful analyses and actionable recommendations
Significant experience with data visualization tools (e.g., Looker, Tableau) and can translate insights into dashboards and narratives that influence decision-making
Excel at shaping technical solutions, data models, and architectures that support robust analytics and scalable ML/data applications
Comfortable operating in ambiguous, fast-moving environments and can balance precision with urgency in high-stakes decision contexts
Communicate with clarity and influence, and collaborate effectively with cross-functional leaders across Product, Engineering and Operations
Proficient with modern data tooling (e.g., Airflow, dbt) and understand how to design, maintain, and scale ELT/ETL workflows
Preferred
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
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
Company
Marqeta
Marqeta is a card issuing platform that provides infrastructure and tools to help companies build and manage payment programs.
501-1000 employees
H1B Sponsorship
Marqeta has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (75)
2023 (44)
2022 (122)
2021 (70)
2020 (28)
Funding
Current Stage
Public CompanyTotal Funding
$530.11MKey Investors
MastercardCoatueICONIQ Growth
2021-06-09Post Ipo Equity
2021-06-09IPO
2021-04-23Series Unknown· $2.11M
Leadership Team
Mike Milotich
Chief Executive Officer
Heather Gantt-Evans
Chief Information Security Officer, SVP of Cybersecurity
Recent News
2026-01-09
2026-01-08
FX News Group
2026-01-08
Company data provided by crunchbase