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Mastercard · 21 hours ago

Lead Data Engineer

Atlanta, GA

Full-time

Hybrid

Senior Level, Lead/Staff

$140K/yr - $231K/yr

Mastercard is a global technology company in the payments industry, aiming to connect and power an inclusive digital economy. The Lead Data Engineer will drive the mission to unlock the potential of data assets by innovating and managing big data solutions, mentoring team members, and ensuring high-quality data engineering practices.

FinanceFinancial ServicesInformation TechnologyPayments

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Design and build scalable, cloud-native data platforms using PySpark, Python, and modern data engineering practices

Mentor and guide other engineers, sharing knowledge, reviewing code, and fostering a culture of curiosity, growth, and continuous improvement

Create robust, maintainable ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases

Lead by example—write high-quality, testable code and participate in architecture and design discussions with a long-term view in mind

Decompose complex problems into modular, efficient, and scalable components that align with platform and product goals

Champion best practices in data engineering, including testing, version control, documentation, and performance tuning

Drive collaboration across teams, working closely with product managers, data scientists, and other engineers to deliver high-impact solutions

Support data governance and quality efforts, ensuring data lineage, cataloging, and access management are built into the platform

Continuously learn and apply new technologies, frameworks, and tools to improve team productivity and platform reliability

Own and optimize cloud infrastructure components related to data engineering workflows, storage, processing, and orchestration

Participate in architectural discussions, iteration planning, and feature sizing meetings

Adhere to Agile processes and participate actively in agile ceremonies

Qualification

PySparkPythonCloud platformsData modelingETL/ELT pipelinesCI/CD practicesOrchestration toolsContainerizationMentoringCollaboration

Required

Years of hands-on experience in data engineering with strong PySpark and Python skills

Solid experience designing and implementing data models, pipelines, and batch/stream processing systems

Proven ability to work with cloud platforms (AWS, Azure, or GCP), especially in data-related services like S3, Glue, Data Factory, Databricks, etc

Strong foundation in data modeling, database design, and performance optimization

Understanding of modern data architectures (e.g., Lakehouse, medallion) and data lifecycle management

Comfortable with CI/CD practices, version control (e.g., Git), and automated testing

Demonstrated ability to mentor and uplift junior engineers—strong communication and collaboration skills

Familiarity with orchestration tools (e.g., Airflow, dbt, Step Functions, etc.)

Experience with integrating heterogeneous systems and building resilient data pipelines across cloud environments

Bachelor's degree in computer science, Engineering, or related field—or equivalent hands-on experience

Preferred

Experience with containerization and infrastructure automation (e.g., Docker, Terraform) will be a good addition

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)