Top Data Engineer Jobs in Brazil

As a Midlevel Data Engineer, you will develop data models, design data pipelines, and ensure data quality, while collaborating with different teams to improve user experiences.

The Data Engineer will develop data-driven solutions, implement and optimize data pipelines, automate workflows, and collaborate with stakeholders and data scientists to ensure data quality and architecture effectiveness.

As a Data Engineer, you'll implement data extraction, build scalable data processing pipelines, manage data infrastructure, and enforce data governance and best practices.

Lead the entire data ecosystem including data warehousing, pipelines, and BI foundations, while providing technical mentorship and ensuring data quality.

The Data Engineer will develop enterprise applications, manage data requirements, communicate project risks, engage in the development lifecycle, and educate clients about machine learning best practices.

Develop and maintain data models and pipelines, ensuring data quality and availability for business intelligence. Collaborate with teams to enhance data accessibility and troubleshoot issues.

As a Senior Data Engineer, you'll build and optimize data pipelines for an AI platform, ensuring data integrity and performance while collaborating with various teams.

The Data Engineer will develop and maintain data models, monitor pipeline performance, and ensure data quality while collaborating with analytics and business teams.

Join as a Data Engineer to develop and maintain data models, monitor pipelines, improve data accessibility, and ensure data quality while collaborating with teams across the organization.

Develop and maintain data models and pipelines, monitor performance, ensure data quality, collaborate with teams, and document processes.

Develop and maintain data models and pipelines, monitor execution and performance, ensure data quality, collaborate with teams, and document work.

Develop and maintain data models, monitor data pipelines, improve data accessibility for business intelligence, and collaborate with teams on data integration projects.

As a Data Engineer, you'll develop and maintain data models, manage data pipelines, and collaborate on improving data accessibility for analytics and reporting, ensuring data quality and reliability.

Develop and maintain data models and pipelines, monitor performance, ensure data quality, support analytics teams, and collaborate with engineers and analysts.

Develop and maintain data models, monitor data pipelines, collaborate with teams to enhance data accessibility, and ensure data quality in a cloud environment.

Develop and maintain data models and pipelines, monitor data quality, collaborate with teams on data practices, and troubleshoot data-related issues in a cloud environment.

Develop and maintain data models and pipelines, monitor performance, collaborate with teams to improve data access, implement data quality systems, and troubleshoot data issues.

The Data Engineer will develop and maintain data models, monitor data pipelines, collaborate with teams for data integration, and ensure data quality in a cloud environment.

As a Software Engineer, you will design and build scalable data services to analyze blockchain transactions, collaborating with data scientists and engineers.

The Business Intelligence Data Analyst role involves data modeling, analyzing datasets for actionable recommendations, and driving automation solutions for business processes while ensuring effective governance and tracking KPIs.

As a Data Engineer, you will design and develop data processing pipelines, collaborate with data scientists, and ensure data quality. You'll utilize modern tools and frameworks to manage data applications, focusing on data governance and stakeholder management.

The Data Engineer will design, build, and maintain scalable data pipelines using Apache Airflow, ensuring reliable data delivery and optimizing ETL processes.

The Data Engineer will analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.