Data Engineer II

Mastercard is hiring a Data Engineer II. Level rates it ; you can apply on Mastercard.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include data engineering, data management and operational analytics.
Level classifies it as a mid-level role.
Level lists 1,100+ other open roles at Mastercard.

AI in this role

Data Engineer II building operational intelligence data solutions, dashboards, and risk monitoring pipelines.

data-engineeringdata-managementoperational-analyticsrisk-managementdata-pipelines

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 reasonable_accommodation@mastercard.com 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

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

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

How we rate this

Data Engineer II at Mastercard rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer II is an open job at Mastercard.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in O'Fallon, Missouri.
The job was posted on September 28, 2026.
Seniority: mid.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringData ManagementOperational AnalyticsRisk ManagementData Pipelines

Also common in data engineer jobs at this level

Python SQL AWS Spark Azure Airflow

Pay

Typical data engineer job: $149k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where data management was part of your work. What did you do?
Tell me about a project where operational analytics was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, Data Management, Operational Analytics, Risk Management, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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