CNH Industrial's Data Engineering team needs to develop software and infrastructure to manage 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.
Requirements
- development and maintenance of data pipelines
- process, manage, and analyze large volumes of AI and sensor data
- migration efforts from AWS to Azure
- improve data flow efficiency and infrastructure scalability
- optimize pipelines for speed, performance, and reliability
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
Other
- Interns will work full-time hours during the summer.
- Candidates must be pursuing (at minimum) a Bachelor’s degree in Data Engineering or a related field.
