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MegazoneCloud

AI-native multi-cloud orchestration and migration

Data Engineer Co-op

Data EngineeringConfirmed live in the last 24 hours
InternshipRochester, NY, USA$27 - $29 /hrIn-person

About the Job

Requirements

  • Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, or a related technical field.
  • Expected graduation date of December 2026 or later.
  • Academic or project-based experience with Python and SQL.
  • A solid understanding of data structures, algorithms, and database principles.
  • Must be currently eligible to work in the United States.

Responsibilities

  • Build and maintain data pipelines that power the business and client solutions.
  • Write and optimize Python and SQL code to automate processes and manage data workflows.
  • Participate in team meetings and technical discovery, contributing perspectives to design discussions.
  • Collaborate with senior engineers and learn through technical mentorship.
  • Work alongside data science and infrastructure teams.

Desired Qualifications

  • Projects involving AWS, Databricks, or Snowflake.
  • Coursework in generative artificial intelligence or MLOps.
  • A GitHub link or portfolio of technical work.

About the Company

MegazoneCloud

AI-native multi-cloud orchestration and migration

Megazone Cloud delivers AI-native digital transformation and managed cloud services for large enterprises, offering multi-cloud orchestration, migration planning, and custom advisory. Its platform coordinates across multiple cloud providers with agentic AI networks, automated governance, and zero-trust security to automate and secure cloud operations and convert legacy databases into cloud-native processing grids. It differentiates itself through a large network of thousands of technical architects, a tightly integrated multi-cloud and AI orchestration framework, and governance-focused practices that aim for lower downtime and predictable costs, backed by global provider partnerships. Its goal is to help public institutions and financial firms smoothly adopt next-generation IT, improve organizational efficiency, and scale cloud modernization cost-effectively.

Company size
501-1,000
Company stage
Acquired
Total funding
$697.3M
Headquarters
Seoul, South Korea
Founded
1998

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