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# Data Engineer

- **Company:** CNH INDUSTRIAL
- **Location:** Sioux Falls, SD, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Storage, Data Validation, Extract Transform Load (ETL), Data Security, Software Engineering, Information Technology
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=58bbeb3030adbae4

## About the Role

* Degree or technical certification in Information Technology or related area
 * 3-5 years of experience in Software Engineering or Data Engineering
 * Self-motivated, detail-oriented, and collaborative in team environments
 * Good written communication and documentation skills

## Description

Innovation. Durabilité. Productivité. C'est ainsi que nous ouvrons de nouvelles perspectives dans notre mission visant à faire progresser de manière durable le noble travail des agriculteurs et des constructeurs partout dans le monde. Avec une population mondiale croissante et des besoins en ressources toujours plus importants, nos produits jouent un rôle essentiel pour nourrir et loger la population mondiale.

Du développement de produits fonctionnant avec des énergies alternatives à des technologies de précision qui améliorent la productivité, nous fournissons des solutions qui profitent à tous, et cela grâce à des personnes comme vous. Si l'idée de développer vos compétences au sein d'une équipe internationale et collaborative vous enthousiasme, vous êtes au bon endroit.

Développez votre carrière. Construisez votre avenir !

Rejoignez cette entreprise à la pointe de l'agriculture et de la construction, qui innove avec passion pour améliorer l'efficacité et la réussite de ses clients. Nous savons que l'innovation ne peut se faire sans collaboration. C'est pourquoi, chez CNH , tout ce que nous faisons vise à atteindre de nouveaux sommets en tant qu'équipe, en travaillant toujours pour le bien de nos clients.

Objectif du poste

Focused on designing, building, and maintaining systems for managing and processing large datasets. Key activities include building data pipelines, ensuring data quality, and collaborating with data scientists. They also implement scalable storage solutions, optimize data workflows, and ensure data security and compliance

Principales responsabilités

 * Data Pipelines: Data engineers create and manage data pipelines, which automate the extraction, transformation, and loading (ETL) of data from various sources into a usable format for analysis.
 * Data Quality and Integrity: They ensure that data is accurate, consistent, and complete by implementing data validation rules and quality checks.
 * Collaboration: Data engineers work closely with data scientists, AI specialists, and other stakeholders to understand their data needs and ensure that the data infrastructure meets their requirements.
 * Scalable Storage: They design and implement scalable storage solutions, such as data warehouses and cloud storage, to handle large volumes of data.
 * Workflow Optimization: Data engineers continuously monitor and optimize data workflows to ensure efficiency, reliability, and performance.
 * Security and Compliance: They implement security measures to protect data from unauthorized access and ensure that data handling practices comply with relevant regulations


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