Top Data Engineer Jobs in Brazil

As a Data Engineer at Caylent, you will collaborate with architects and engineers to design data pipelines, deliver AWS solutions, and troubleshoot issues, all while ensuring exceptional client experiences.

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

The Tech Lead Machine Learning/Data Engineer will develop and integrate machine learning models, evaluate their performance, and adapt them for high-demand environments while collaborating with distributed teams.

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.

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 will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

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

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 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.

Design and maintain data pipelines, work on LLM-driven applications, and optimize workflows while collaborating with stakeholders in the BI team.

The Senior Data Engineer designs and maintains data pipelines and systems, collaborates with teams, and optimizes data workflows using cloud technologies.

The Senior Data Engineer will manage end-to-end data processing, develop ETL/ELT pipelines, and collaborate with BI teams to provide insights using complex datasets.

As a Senior Data Engineer, you will develop and maintain data models, design data pipelines, and ensure data quality, while leveraging big data concepts to improve user experience and recommendations.

The Data Integration Engineer is responsible for designing, maintaining, and optimizing data integration processes across various IT systems, ensuring data quality and alignment with business needs.

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

The Data Engineer will analyze business data and create technical solutions, using SQL and other core tools to deliver data products.

Design and optimize data pipelines, manage Sezzle's data ecosystem, and lead ETL/ELT workflows. Collaborate with teams and integrate new technologies.

The Senior Software Engineer will design and maintain scalable databases, optimize data pipelines, manage database security, and collaborate cross-functionally to enhance data workflows.

Design and build scalable data services for analyzing blockchain transactions, collaborating across teams to enhance TRM's products and ensure performance efficiency.

The Senior Data Engineer will design and implement data streaming and batch systems, ensuring reliability and efficiency for analytics and automation at scale while collaborating across teams.

As a Senior Data Warehouse Engineer, you'll design and optimize cloud-native data warehouse solutions, build ETL/ELT pipelines, and ensure data governance while collaborating across teams to enable AI-ready infrastructure.

Senior Data Engineers build and maintain data architecture and infrastructure. They develop data processing pipelines, collaborate with data scientists, and ensure data quality and governance.

As a Senior Data Engineer, you'll design scalable data pipelines, optimize data warehousing, ensure data quality, and lead cross-functional analytics projects enhancing user experiences.