Data Engineer Intern

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

About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Intern Program Overview

We are committed to building a strong talent pipeline by investing in early career professionals. Our internship and co-op programs provide mentorship, training, hands‑on experience, and growth opportunities that empower students to explore their career paths with confidence. Through competitive wages, networking events, social and volunteer activities, professional development workshops, and housing support, we strive to deliver one of the best internship experiences—designed to develop and inspire the talent of tomorrow. Summer interns work full‑time (40 hours per week) from May through August. Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program.

Job Purpose

The Data Engineering team develops software and infrastructure to manage CNH’s AI and Surround Sense data pipelines. These pipelines are critical for evaluating product performance and accelerating the delivery of algorithms that power next-generation technologies in autonomy and smart machinery.

As a Data Engineer Intern, you will gain hands‑on experience working on cloud‑based data engineering projects that directly support AI and machine learning initiatives.

Key Responsibilities

Your responsibilities may include:

• 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

Preferred Qualifications

Candidates must be pursuing (at minimum) a Bachelor’s degree in Data Engineering or a related field.

Pay Transparency

The annual salary for this role is USD $19.00 - $31.00 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future.

US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "Know Your Rights" poster here. CNH Industrial participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S. You can view additional information here.

Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation.

If you need reasonable accommodation with the application process, please contact us at [e-mail].