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# Engenheiro Dados

- **Company:** CNH INDUSTRIAL
- **Location:** Sioux Falls, SD, United States
- **Experience:** Experienced
- **Salary:** $40,706.0 - $72,842.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Big Data, Cloud Computing, Data Validation, Extract Transform Load (ETL), Data Security, Software Engineering, Information Technology
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=52405ecf931aa853

## 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

Desde o desenvolvimento de produtos movidos por fontes alternativas de energia até tecnologias de precisão que aumentam a produtividade, estamos entregando soluções que beneficiam as pessoas - e tudo isso é possível graças a pessoas como você. Se a oportunidade de desenvolver suas habilidades como parte de uma equipe global e colaborativa te anima, você está no lugar certo.

Construa uma Carreira. Construa um Futuro!

Faça parte desta empresa que está na vanguarda da agricultura e da construção, inovando com paixão para impulsionar a eficiência e o sucesso dos clientes. E sabemos que a inovação não acontece sem colaboração. Por isso, tudo o que fazemos na CNH Industrial é sobre alcançar novos patamares como um só time, sempre entregando o melhor para nossos clientes.

Objetivo do cargo

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

Principais responsabilidades

 * 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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