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Salary
≈ $33k – $89k per year (Estimated)
Location
Remote (Brazil)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026. CI&T scores A on the Alion truth index.

Overview
Company
Impact
Profile match
CI&T is a Brazilian digital services company founded in Campinas in 1995 that builds software, data platforms and artificial intelligence systems for large enterprises. It works mainly with banks, retailers, consumer goods companies and healthcare providers in Brazil, the United States and Europe, taking on product engineering, cloud modernisation and experience design as long-running delivery engagements. The company listed on the New York Stock Exchange in 2021 and employs several thousand people across delivery centres in Latin America, North America, Europe and Asia.
Backed by MMC

At CI&T, we're growing fast and looking for a talented, motivated Mid-level Data Developer to join our team. You'll play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our global clients.

Key Responsibilities:

- Develop and maintain scalable data pipelines and infrastructure.

- Collaborate with cross-functional teams to ensure data integrity and usability.

- Document data workflows, processes, and architectures.

- Integrate data quality into data pipelines.

- Develop CI/CD pipelines for ETL processes.

- Provide technical support and troubleshooting for data-related issues.

Qualifications:

- Advanced English (reading, writing, and speaking).

- Proven experience working with modern data engineering stacks in the cloud.

- Experience with the Databricks platform is a must-have for this position.

- Previous experience with Spark, Python, and SQL.

- Experience with CI/CD pipelines for ETL processes.

- Expertise in dimensional data modeling.

- Experience with Data Lake/Data Warehouse implementations.

Nice to have:

- Databricks certification is a plus.

- Experience working with international clients.

- Experience working with Azure or AWS.

- Experience with Power BI.

- Familiarity with Data Quality practices.

- Familiarity with Data Governance using Unity Catalog.

- Knowledge of FinOps as applied to the data space.

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