Mastercard
Data Engineer II
O'Fallon, Missouri, USA · Mid · Part-time
Sponsorship not specified$92k-$147kDetected 23 hours ago
Distributed SystemsData StructuresData EngineeringAI OrchestrationProcess ImprovementLeadershipCommunicationProblem Solving
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odds of building a lasting career here
53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Analyze operational incidents, service disruptions, and risk events to identify trends, recurring failure patterns, and systemic control gaps across products, platforms, and regions.
- Translate operational data into actionable risk and control insights by evaluating control effectiveness and recommending opportunities for process improvement.
- Contribute to the development and maintenance of data lake environments and analytical data structures supporting risk monitoring and operational decision-making.
Responsibilities
- Independently investigate operational issues and partner with incident owners, engineering teams, and stakeholders to validate information, assess impacts, and identify escalation risks.
- Develop and maintain data pipelines, workflows, and analytical solutions that support reliable data availability, quality, and operational reporting.
- Design, test, and optimize components of distributed data processing solutions to improve scalability, efficiency, and reliability.
- Build and manage data integration processes that consolidate information from multiple sources into a unified operational intelligence view.
- Drive workflow orchestration and process automation initiatives that improve operational efficiency and reduce manual effort across intelligence and reporting activities.
- Develop recurring risk narratives, trend analyses, and operational performance reporting to support leadership reviews and governance forums.
- Document technical solutions, analytical methodologies, operational processes, and best practices to support knowledge sharing and maintainability.
- The position identifies patterns, trends, and emerging risks, translating operational signals into meaningful business insights that support proactive risk management and continuous improvement across products and platforms.
- Provide technical input on solution design, feasibility, operational risks, and data requirements during project planning and review activities.
- Apply data modeling and database design principles to structure data for efficient storage, retrieval, and analysis.
Requirements
- Strong analytical and problem-solving skills with the ability to independently evaluate operational issues, identify risk patterns, and recommend corrective actions.
- Proven ability to transform large and complex datasets into actionable business insights and executive-level recommendations.
Compensation
- In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions dependi
Benefits
- Develop executive-ready intelligence briefings and dashboards that communicate operational health, customer impact, financial exposure, and emerging risk trends.
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This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.