Data Engineer II

Mastercard is a global payments technology company that supports secure, simple, smart, and accessible digital payments worldwide. The Data Engineer II develops and maintains data pipelines, integrations, data lake environments, and analytical solutions that transform operational data into risk intelligence, reporting, and actionable business insights. The role also supports operational analysis, workflow automation, data governance, and executive decision-making.

Responsibilities

• Analyze operational incidents, service disruptions, and risk events to identify trends, recurring failure patterns, and systemic control gaps across products, platforms, and regions
• Develop executive-ready intelligence briefings and dashboards that communicate operational health, customer impact, financial exposure, and emerging risk trends
• Independently investigate operational issues and partner with incident owners, engineering teams, and stakeholders to validate information, assess impacts, and identify escalation risks
• Translate operational data into actionable risk and control insights by evaluating control effectiveness and recommending opportunities for process improvement
• 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
• Contribute to the development and maintenance of data lake environments and analytical data structures supporting risk monitoring and operational decision-making
• Apply data modeling and database design principles to structure data for efficient storage, retrieval, and analysis
• Drive workflow orchestration and process automation initiatives that improve operational efficiency and reduce manual effort across intelligence and reporting activities
• Troubleshoot and resolve routine to moderately complex data processing, workflow, and reporting issues through root cause analysis and implementation of sustainable solutions
• Develop recurring risk narratives, trend analyses, and operational performance reporting to support leadership reviews and governance forums
• Ensure compliance with data governance, security, and operational standards while safeguarding the confidentiality, integrity, and availability of operational data
• Document technical solutions, analytical methodologies, operational processes, and best practices to support knowledge sharing and maintainability
• Provide technical input on solution design, feasibility, operational risks, and data requirements during project planning and review activities
• Identify opportunities to improve operational intelligence capabilities through process optimization, automation, enhanced reporting, and adoption of emerging technologies

Benefits

• Annual bonus or commissions may be available depending on the role
• Insurance, including medical, prescription drug, dental, vision, disability, and life insurance
• Flexible spending account and health savings account
• Paid leaves, including 16 weeks of new parent leave and up to 20 days of bereavement leave
• 80 hours of Paid Sick and Safe Time
• 25 days of vacation time and 5 personal days, pro-rated based on date of hire
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Eligibility for tuition reimbursement

Company

• Digital payments network for consumers, businesses, and governments
• Purchase, New York, USA
• http://www.mastercard.com/
• Founded in 1966
• 10001+ employees

Qualifications

• 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
• Proficient in data engineering concepts, including:
• Data pipelines (ingestion, transformation, storage)
• Data processing and distributed systems
• Data integration and data management
• Data lake architecture and utilization
• Workflow orchestration and workflow management
• Data modeling and database design
• Database architecture and administration fundamentals
• Data security, governance, and operational controls
• Ability to design, develop, and maintain scalable data solutions supporting operational analytics, risk intelligence, and reporting
• Experience identifying data quality issues, troubleshooting operational data challenges, and implementing sustainable improvements
• Ability to evaluate current workflows and recommend process improvements that increase efficiency, scalability, and reliability
• Strong written and verbal communication skills with the ability to clearly communicate technical concepts and operational insights to both technical and non-technical audiences
• Experience developing dashboards, trend analysis, performance reporting, and executive-ready presentations
• Demonstrated ability to work independently on moderately complex assignments while collaborating effectively across teams and stakeholder groups
• Strong organizational and documentation skills with a focus on accuracy, repeatability, and continuous improvement
• Curiosity and a proactive mindset with the ability to navigate ambiguity and identify opportunities for innovation and operational enhancement
• Ability to quickly learn new technologies, analytical tools, and business processes within a fast-paced environment

Required skills

• Data Engineering, Data Pipelines, Distributed Data Processing, Data Integration, Data Lake Architecture, Workflow Orchestration, Data Modeling, Database Design, Database Architecture and Administration, Data Security and Governance, Data Quality Management, Operational Analytics

Preferred skills

• Written and Verbal Communication

Experience

• Mid level