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Mastercard · 1 day ago

Lead, AI Data Engineer

O'Fallon, MO

Full-time

Onsite

Senior Level, Lead/Staff

$138K/yr - $221K/yr

Mastercard is a global technology company that powers economies and empowers people in over 200 countries. The Lead AI Data Engineer will design scalable data pipelines and build robust feature engineering workflows, while integrating data pipelines with model APIs to support production-grade AI systems.

FinanceFinancial ServicesInformation TechnologyPayments

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Lead the development of scalable, high-performance data pipelines for structured and unstructured data used in AI/ML models

Design and manage feature stores to ensure consistent feature computation across training and inference environments

Collaborate with ML Engineering and ML Ops teams to build and maintain data quality and drift monitoring systems

Develop AI microservices that integrate data pipelines with model APIs for real-time and batch inference

Recommend and implement improvements to data quality, efficiency, and pipeline resilience

Partner with cross-functional teams to deliver robust analytical solutions using Mastercards global data assets

Organize and maintain tools for data transfer, mining, cleaning, processing, and validation

Contribute to the development of scalable AI infrastructure and reusable components for enterprise-wide use

Qualification

PythonSQLBig data technologiesFeature engineering workflowsCI/CD toolsCloud platformsLinux/Unix systemsDomain expertiseCommunication skillsCollaboration skillsCreative mindset

Required

Proven experience in Python and SQL for scripting, automation, and data integration

Hands-on experience with big data technologies such as Spark, Kafka, Hive, Impala, Airflow, and NiFi

Familiarity with relational databases (PostgreSQL, Oracle) and cloud platforms (preferably AWS)

Experience building and managing feature engineering workflows and feature stores

Understanding of ML workflows, including model training, inference, and monitoring

Experience with CI/CD tools (GitHub Actions, Jenkins) and infrastructure automation (Terraform)

Strong knowledge of Linux/Unix systems and shell scripting

Excellent communication and collaboration skills, with the ability to work across technical and non-technical teams

Subject matter expertise in payments, fraud, or cybersecurity or a demonstrated ability to quickly learn new domains

Creative, curious, and innovative mindset with a passion for solving complex problems

Preferred

Experience with AWS cloud services for data engineering and ML workflows

Hands-on experience with Databricks, including Medallion Architecture and Delta Lake

Benefits

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

Company

Mastercard

Glassdoor4.2

Mastercard is a financial network that processes payments between banks and cardholders.

Founded in 1966

Purchase, New York, USA

10001+ employees

http://www.mastercard.com

H1B Sponsorship

Mastercard has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (540)

2024 (319)