Top Data Engineer Jobs in Brazil

The Data Engineer will develop enterprise applications, educate clients on Machine Learning life cycle, and ensure data quality throughout development.

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 build infrastructure software for data pipelines and APIs, enhance system performance, mentor engineers, and ensure secure data access for clients.

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.

The Data Engineer role involves creating and managing data pipelines, optimizing data infrastructure, and automating data processes using tools like Snowflake, dbt, and Terraform.

The Senior Data Engineer will design and maintain scalable data pipelines, implement ETL processes, ensure data quality, and collaborate with stakeholders.

As a Data Engineer, you will design and implement data pipelines using Python and various tools, ensuring efficient data flow and system performance.

The Data Engineer will design and maintain systems for data collection and analysis, ensuring seamless data flow and quality for business operations.

As a Data Engineer, you will implement data extraction solutions, build data processing pipelines, and maintain scalable data infrastructure while ensuring data governance and quality.

As a Senior Snowflake Data Engineer, you'll design and optimize data pipelines, support datasets for products, and automate data processes while providing technical expertise.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

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.

The Data Engineering Specialist will define, develop, and maintain data pipelines, collaborate with teams for decision intelligence, and implement quality control processes using various data engineering tools.

The Data Engineer will develop ETL processes, build data pipelines, and optimize data architecture while collaborating with stakeholders and ensuring data integrity.

As a Data Engineer, you'll maintain and enhance a data ingestion pipeline, collaborate with data scientists and engineers, and implement features for efficiency and scalability.

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.

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.

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

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.