Data Engineer II — Operational Intelligence & Risk

Mastercard Colombia, Inc.; O’Fallon (MO); On-site; USD 92,000 - 147,000; Full time

Benefits offered by this job

Insurance (medical/dental/vision)

401k with company match

Paid time off and holidays

Tuition reimbursement

Job summary

Mastercard seeks a Data Engineer II to build and maintain scalable data pipelines and an operational intelligence layer across incident management and governance. You will transform complex operational data into actionable insights, create executive dashboards, and collaborate with incident owners, engineering teams, and stakeholders to drive proactive risk management.

You will contribute to data lake environments, ensure data quality and security, and document methodologies for knowledge

Qualifications

• Ability to transform large datasets into actionable business insights and executive-level recommendations.
• Experience building data pipelines, processing, and distributed systems.
• Experience developing dashboards, trend analyses, and performance reporting.
• Ability to work independently while collaborating with cross-functional teams.
• Understanding data security, governance, and operational controls.

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.
• 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.

Skills

Data engineering

Data pipelines

Data modeling

Data governance

Analytical skills

Stakeholder communication

Job description

Mastercard seeks a Data Engineer II to build and maintain scalable data pipelines and an operational intelligence layer across incident management and governance. You will transform complex operational data into actionable insights, create executive dashboards, and collaborate with incident owners, engineering teams, and stakeholders to drive proactive risk management.

You will contribute to data lake environments, ensure data quality and security, and document methodologies for knowledge