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Mastercard · 3 months ago

Lead, AI Data Engineer

O'Fallon, Missouri

Full-time

Onsite

Senior Level, Lead/Staff

$138K/yr - $221K/yr

Mastercard is a global leader in payment solutions, dedicated to building a sustainable economy where everyone can prosper. They are seeking a highly skilled AI Data Engineer to join their Cyber and Fraud Solutions Data Science team, focusing on developing AI products to combat fraud and enhance the digital payments experience. The role involves designing and building scalable data pipelines and collaborating with various teams to improve data quality and efficiency.

FinanceFinancial ServicesInformation TechnologyPayments

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Leading team in the creation of portfolio robust analytical solutions through effective use of Mastercard’s global data assets and software platform

Independently maintain and organize data and tools for data transfer, mining, cleaning/processing, and validation

Design, build, and maintain data pipelines for structured and unstructured data used in AI/ML models

Develop and manage feature stores to support consistent feature computation across training and inference

Recommend ways to improve data quality and efficiency

Collaborate with ML Engineering and ML Ops teams in building DQ Drift Monitoring AI Systems

Contribute to the development of AI microservices for integrating data pipelines with model APIs

Collaborate with cross-functional teams and have opportunities to grow and develop as an AI Engineer

Qualification

PythonSQLBig Data EngineeringMachine Learning WorkflowsCloud PlatformsData OrganizationCommunication SkillsLeadership AbilityCreativityCollaboration Skills

Required

Proficiency in Python and SQL

Experience with SQL language of the following database technologies: PostgreSQL, Oracle, Hadoop

Big Data Engineering experience – Spark, Kafka, Hive, Impala, Sqoop, AirFlow, NIFI

Experience in Linux/Bash Environment, multiple scripting languages and storage systems

Understanding machine learning workflows, model training, and inference pipelines

Building ML Feature Engineering workflows experience and familiarity with feature store

Hands-on experience with cloud platforms

Experience building or supporting DQ drift monitoring systems for ML models

Understanding of the importance of data organization and security

Strong communication, collaboration, and leadership ability

Subject matter expertise in payments, cards, and /or fraud or proven ability to learn and master new subject matter areas

Creativity, curiosity, and innovation

Ability to think outside the box and constantly strive for more accurate and efficient ways to perform tasks

Experience developing new products/services

Ability to combine knowledge across multiple disciplines to solve problems

Ability to clearly articulate results of analyses, in writing and verbally, and to work effectively with all levels within the organization

Excellent inter-personal skills, able to work with colleagues remotely as well as in-person

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

And many more

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)