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Senior

Senior AWS Cloud Data Engineer

Confirmed live in the last 24 hours

Shift4 Payments

Shift4 Payments

Atlanta, Georgia, United States; Center Valley, Pennsylvania, United States; Las Vegas, NV; Tampa, Florida, United States
On-site
Posted April 14, 2026

Job Description

Overview

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.

Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team.

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

  • Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
  • Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
  • Diagnose and resolve issues with deployed systems (as part of level 3 support).
  • Become a technical expert for the cloud data platform.
  • Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
  • Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

  • Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
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