Lead Data Engineer

$138,000 - $221,000/Yr

Mastercard - O'Fallon, MO

Part-time - Mid Level

O'Fallon, MO

Credit Intermediation and Related Activities

About the position

Mastercard is seeking a Lead Data Engineer to lead the design and development of enhanced data services and cloud enablement for Data and Services. As a Lead Data Engineer, you will push the limits of the state of the art with best-in-class data product enablement in the cloud and will design the roadmap to develop data and analytics solutions that sit atop vast datasets. Your role will enable a frictionless customer and developer experience, exposing data components for direct customer use or as components for new product constructs. You will have the opportunity to create high-performance analytic and machine learning (ML) solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data. In this position, you will lead the design of new data capabilities and infrastructure related to accessing and using Mastercard, third-party, and partner data to power Mastercard data products and solutions. You will be responsible for designing the required new data pipes, data transfers, and compliance-related infrastructure to enable the use of data in the cloud. Additionally, you will identify data-related capabilities and infrastructure requirements resulting from new and evolving product constructs and how those requirements can be developed cloud natively. You will need to understand the Data and Services business strategy, information infrastructure, and data needs for both new and existing products and services across various product initiatives. Collaboration with relevant data management, data governance, and technical teams will be essential to enable the long-term viability of information assets and enterprise requirements. You will also develop a horizontal technology roadmap in conjunction with the Data Strategy & Management team to enable technology solutions for managing data that meet the needs of multiple business stakeholder groups. Furthermore, you will identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.

Responsibilities

• Lead the design of new data capabilities and infrastructure related to accessing and using Mastercard, third-party, and partner data to power Mastercard data products and solutions.
• Design required new data pipes, data transfers, and compliance-related infrastructure to enable the use of data in the cloud.
• Identify data-related capabilities and infrastructure requirements resulting from new and evolving product constructs and how those requirements can be developed cloud natively.
• Understand the Data and Services business strategy, information infrastructure, and data needs for both new and existing products and services across various product initiatives.
• Collaborate with relevant data management, data governance, and technical teams to enable long-term viability of information assets and enterprise requirements.
• Develop a horizontal technology roadmap in conjunction with Data Strategy & Management team input to enable technology solutions for managing data that meet the needs of multiple business stakeholder groups.
• Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience in data engineering, with a focus on building data pipelines and infrastructure for ML and AI applications.
• Proficiency in programming languages such as Python.
• Solid understanding of ML and AI concepts, algorithms, and techniques.
• Experience in data product development, analytical models, and model governance.
• Experience in anonymizing data and managing the use of data.
• Experience in data hygiene procedures, identity resolution capabilities, or data management is a plus.
• Strong project management skills and a demonstrated ability to understand complex information product constructs.
• Familiarity with industry best practices for collection and use of data.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Nice-to-haves

• Experience in data hygiene procedures, identity resolution capabilities, or data management is a plus.

Benefits

• Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• Flexible spending account and health savings account
• Paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave)
• 10 annual paid sick days
• 10 or more annual paid vacation days based on level
• 5 personal days
• 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
• Gender-inclusive benefits
• Many more