Jobs / United States / Mastercard International Incorporated
Data Engineer II
Mastercard International Incorporated · 🇺🇸 O'Fallon, Missouri
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 286 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mastercard International Incorporated paid sponsored hires in similar roles7 certified filings for “Data Engineer” (Data Scientists) in MO: $98k–$138k, median $119k. Most were filed at wage level IV (57%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Mastercard International Incorporated
The US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 286 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Mastercard International Incorporated →
About the role
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 processe