Jobs / United States / Mastercard International Incorporated
Senior Data Engineer
Mastercard International Incorporated · 🇺🇸 Atlanta, Georgia
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.
Or apply yourself on the official page →
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 Senior Data Engineer Overview: Marketing Services Technology is seeking a Senior Data Engineer to build scalable data platforms, pipelines, and services that power marketing measurement, customer insights, campaign optimization, advanced analytics, and AI/ML capabilities. This role partners with Product Management, Engineering, Data Science, Analytics, and Business teams to deliver secure, reliable, and high-quality data solutions. The Senior Data Engineer will also contribute to cloud modernization, platform architecture, automation, and operational excellence across the Marketing Services data ecosystem. Role: • Design, build, deploy, and maintain scalable batch, streaming, and real-time data pipelines. • Develop reusable frameworks for data ingestion, transformation, orchestration, and delivery. • Build and support enterprise data lake, data warehouse, and lakehouse solutions. • Improve platform scalability, performance, reliability, resiliency, and operational efficiency. • Implement data quality, observability, governance, security, lineage, and monitoring capabilities. • Enable reporting, advanced analytics, experimentation, AI/ML, and customer insight use cases. • Support the migration of legacy platforms to modern cloud-native architectures. • Establish engineering standards across CI/CD, infrastructure as code, testing, automation, and production support. • Troubleshoot complex production issues and lead root-cause analysis to improve service reliability. • Partner with product, engineering, analytics, and business teams to translate requirements into scalable data solutions. • Mentor engineers and provide technical leadership across data initiatives. • Contribute to architectural decisions and technology roadmaps for Marketing Services data platforms. All About You: • Bachelor’s degree or equivalent experience in computer science, engineering, information systems, or a related technical field. • Strong experience designing scalable data platforms and distributed data-processing solutions. • Proficiency in SQL and at least one programming language such as Python, Java, or Scala. • Experience with technologies such as Spark, Kafka, Hadoop, or comparable large-scale data-processing frameworks. • Experience building data pipelines for analytics, reporting, machine learning, and operational data products. • Strong understanding of data modelling, ETL/ELT patterns, data architecture, and data lifecycle management. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Knowledge of data governance, security, privacy, lineage, metadata management, and regulatory requirements. • Experience with Git, CI/CD, DevOps automation, infrastructure as code, testing, deployment, and observability. • Strong problem-solving skills with experience diagnosing complex issues in distributed environments. • Ability to balance technical quality with business priorities and customer outcomes. • Strong communication and collaboration skills across engineering, product, analytics, and business teams. Preferred Experience: • Experience leading technical initiatives, influencing architectural decisions, or mentoring engineers. • Experience modernizing legacy data platforms or supporting cloud migration progr