Data Engineer Intern: Cloud Pipelines for AI

CNH; Phoenix (AZ); On-site; USD 26,000 - 43,000; Full time

Benefits offered by this job

Housing support

Networking events

Professional development workshops

Mentorship

Job summary

CNH Industrial is seeking a Data Engineer Intern to gain hands-on experience building cloud-based data pipelines that support AI and machine-learning initiatives in our Data Engineering team. The internship runs May through August, full-time.

Applicants must be enrolled in a degree program; the program offers mentorship, training, and housing support. You will collaborate with engineers and data scientists to improve data flow, and you may assist migrations from AWS to Azure to accelerate

Qualifications

• Pursuing (at minimum) a Bachelor's degree in Data Engineering or related field.

Responsibilities

• Assisting in the development and maintenance of data pipelines that process, manage, and analyze large volumes of AI and sensor data
• Supporting migration efforts from AWS to Azure, depending on project priorities during the internship term
• Collaborating with engineers and data scientists to improve data flow efficiency and infrastructure scalability
• Working on existing projects to build technical skills and contribute to ongoing improvements
• Exploring opportunities to optimize pipelines for speed, performance, and reliability to better support product delivery

Skills

Data pipelines

Cloud data engineering

AWS to Azure migration

Collaboration

Python

Education

Bachelor's degree in Data Engineering

Tools

AWS

Azure

Python

Job description

CNH Industrial is seeking a Data Engineer Intern to gain hands-on experience building cloud-based data pipelines that support AI and machine-learning initiatives in our Data Engineering team. The internship runs May through August, full-time.

Applicants must be enrolled in a degree program; the program offers mentorship, training, and housing support. You will collaborate with engineers and data scientists to improve data flow, and you may assist migrations from AWS to Azure to accelerate