Job Description
Note:
The job is a remote job and is open to candidates in USA. Marqeta 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. 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 Skills • 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 • 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 Overview • Marqeta is a card issuing platform that provides infrastructure and tools to help companies build and manage payment programs.
It was founded in 2010, and is headquartered in Oakland, California, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship • Marqeta has a track record of offering H1B sponsorships, with 49 in 2025, 75 in 2024, 44 in 2023, 122 in 2022, 70 in 2021, 28 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job