Top Data Engineer Jobs in Brazil

The Data Engineer will develop data ingestion pipelines and data models on Google Cloud, optimizing SAP systems and ensuring data integrity for the LA Finance team.

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.

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.

Join the Data Foundry team as a Data Engineer, building pipelines and infrastructure for AI workflows, ensuring data quality and governance while maintaining and optimizing ETL processes.

The Data Engineer will develop data analytics platforms, establish best practices in data ingestion and storage, manage data quality, design scalable software architectures, and mentor team members.

We are looking for a Staff Software Engineer for our MLS data platform to develop data pipelines, backend services, and AI-driven features for the real estate industry.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

Lead the design and implementation of robust data pipelines and ecosystems. Ensure scalability and reliability while mentoring team members in best practices.

As a Data Engineer, you'll design and maintain data models and pipelines, collaborate with teams, and ensure high-quality data for analytics.

The Data Engineer will build and maintain data pipelines, improve workflows, support data modeling, and enhance system reliability while collaborating with senior engineers.

Design and implement a scalable data platform, develop data pipelines, ensure data quality, and enable self-service analytics for stakeholders.

As a Sr. Data Engineer, you'll build and scale high-throughput streaming pipelines, model real estate datasets, and improve data quality using AI-driven tools in a fast-paced environment.

The Data Engineer will design and maintain scalable data pipelines and support ML workflows, ensuring reliability and performance of data systems.

As a Senior Data Engineer, you will design, develop, and maintain data pipelines and models, leading analytics initiatives and fostering collaboration with stakeholders to address complex business challenges using data solutions.

As an AI Data Engineer, you will build end-to-end data pipelines, collaborate on AI features, and ensure data quality across our systems.

The Data Engineer will design and build Spark data ETL pipelines on AWS, collaborate with teams, optimize data infrastructure, ensure data quality, and maintain operational excellence.

The role involves building and managing data ingestion pipelines, collaborating with AI scientists, and ensuring efficient data collection for model training at Speechify.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Lead scalable data engineering efforts that empower cross-functional teams with reliable data, building ETL pipelines and managing data infrastructure.

Lead data engineering efforts by building scalable ETL and data lake processes. Collaborate across teams to ensure reliable data supports strategic growth and improve user engagement.

The Senior Data Engineer will lead the creation of scalable ETL processes and data lakes, ensuring reliable data for analytics and BI, and drive strategic growth through data-driven insights.

Lead the development of scalable data engineering solutions, managing ETL pipelines and data lakes, while collaborating across teams to enable effective data-driven decision-making.

The Senior Data Engineer will lead the development of scalable ETL pipelines and data lake infrastructure while collaborating with cross-functional teams to ensure data quality and accessibility for business intelligence and analytics.