Data Engineer II

Mastercard Inc.; Missouri; On-site; USD 92,000 - 147,000; Full time

Job summary

Mastercard Inc. is seeking a Data Engineer II to join the ProCOM Office. The role focuses on building a scalable risk intelligence layer across incident management and governance, transforming operational data into actionable insights for leadership decision-making.

You will develop and maintain data pipelines, dashboards, and intelligence solutions that improve data reliability and reporting across products and platforms, while ensuring security and governance compliance.

Qualifications

• Ability to transform large datasets into actionable business insights.
• Experience in data engineering concepts, data pipelines, and distributed systems.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication for executive-ready insights.

Responsibilities

• Analyze operational incidents, service disruptions, and risk events to identify trends and systemic gaps.
• Develop executive-ready intelligence briefings and dashboards communicating operational health and risk trends.
• Investigate issues with incident owners, engineering teams, and stakeholders to validate information and assess impact.
• Translate operational data into actionable risk and control insights to improve processes.
• Develop and maintain data pipelines, workflows, and analytical solutions for reliable data availability and reporting.
• Design, test, and optimize components of distributed data processing solutions for scalability and reliability.
• Build data integration processes aggregating information from multiple sources into a unified view.
• Support data lake environments and analytical data structures for risk monitoring and decision-making.

Skills

Data engineering concepts

Data pipelines

Distributed systems

Data integration

Data management

Data lake architecture

Workflow orchestration

Data modeling

Database design

Data security & governance

Operational analytics

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Data Engineer II

Overview
The Operational Insights Analyst II role within the Program Controls, Operations & Modernization (ProCOM) Office establishes and strengthens a scalable “risk intelligence layer” across incident management and operational governance. This role transforms operational data into actionable intelligence that improves situational awareness, control effectiveness, and leadership decision-making. Leveraging proficienty expertise in data engineering, data management, and operational analytics, the role independently develops and maintains data solutions that aggregate, process, and analyze operational data across multiple systems. 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. This role serves as a key contributor to the evolution of ProCOM’s operational intelligence capabilities by improving data reliability, expanding analytical insight, and enabling scalable reporting and risk‑monitoring solutions.

Role

• 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.

All About You

• 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.

Mastercard is a merit‑based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [e-mail] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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 depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job‑related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on‑site fitness facilities in some locations.THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 10/28/2026.

Pay Ranges

O’Fallon, Missouri: $92,000 - $147,000 USD