Data Engineer II
Mastercard1 month ago
O'Fallon, MO, USAMid Level
H1B sponsor
Base Salary
$92k - $147k/yr
Responsibilities
- Analyze operational incidents, service disruptions, and risk events to identify trends, recurring failures, control gaps, and escalation risks.
- Develop executive-ready dashboards, intelligence briefings, trend analyses, risk narratives, and operational performance reports.
- Develop, maintain, test, and optimize scalable data pipelines, workflows, distributed processing solutions, and analytical data structures.
- Build data integrations that consolidate multiple sources into a unified operational intelligence view.
- Contribute to data lake environments and apply data modeling and database design principles for efficient storage, retrieval, and analysis.
- Drive workflow orchestration and process automation to improve efficiency and reduce manual reporting effort.
- Troubleshoot moderately complex data processing, workflow, and reporting issues and implement sustainable solutions.
- Evaluate control effectiveness, recommend process improvements, and identify opportunities to improve operational intelligence capabilities.
- Ensure data governance, security, operational standards, and confidentiality, integrity, and availability of operational data.
- Document technical solutions, analytical methodologies, processes, and best practices, and provide technical input during project planning and reviews.
Requirements
- Strong analytical and problem-solving skills with the ability to independently evaluate operational issues and recommend corrective actions.
- Proficiency in data pipelines, distributed data processing, data integration, data management, data lakes, workflow orchestration, data modeling, database design, database architecture, database administration fundamentals, data security, governance, and operational controls.
- Ability to design, develop, and maintain scalable data solutions for operational analytics, risk intelligence, and reporting.
- Experience identifying data quality issues, troubleshooting operational data challenges, and implementing sustainable improvements.
- Experience developing dashboards, trend analyses, performance reports, and executive-ready presentations.
- Ability to evaluate workflows and recommend improvements that increase efficiency, scalability, and reliability.
- Strong written and verbal communication skills for explaining technical concepts and operational insights to technical and non-technical audiences.
- Ability to work independently on moderately complex assignments while collaborating across teams and stakeholder groups.
- Strong organizational and documentation skills, curiosity, proactive problem-solving, and ability to learn new technologies, analytical tools, and business processes quickly.
Benefits
- Full-time employees generally receive medical, prescription drug, dental, vision, disability, and life insurance; flexible spending and health savings accounts; paid leave; 401(k) matching; vacation, personal days, holidays, and other benefits.
- Benefits may include 16 weeks of new parent leave, up to 20 days of bereavement leave, 80 hours of Paid Sick and Safe Time, fitness reimbursement or on-site fitness facilities, tuition reimbursement, and deferred compensation for eligible roles.
- The posting reflects one or more current vacancies, with Mastercard intending to fill the position by 10/28/2026.
- The stated U.S. location and pay range are O'Fallon, Missouri.
Categories
Data Engineering
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).