Top Data Engineer Jobs in Sao Paulo

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 Azure Data Engineer will develop ETL processes, manage data warehousing, optimize performance, and ensure data quality within Azure Synapse Analytics, collaborating with cross-functional teams.

As a Data Engineer at Tractian, you will manage data pipelines, automate workflows, and design a unified GTM data lake to support revenue analytics and improve processes.

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

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

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.

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.

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.

Transform data into actionable insights using SQL and Python. Develop models, create dashboards, and present findings to senior leadership.

As a Data Engineer, you will design and maintain data products that support game performance tracking, create integrations with APIs, and enhance data platform reliability and 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.

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

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, build, and maintain scalable data pipelines using Apache Airflow, ensuring reliable data delivery and optimizing ETL processes.

As a Senior Data Engineer, you will create scalable backend services, manage data pipelines, and integrate AI features, ensuring performance and reliability.

As a Senior Data Engineer, you will build and maintain data pipelines, collaborate with teams to convert requirements into data solutions, and optimize cloud-based data infrastructure.

The Big Data Engineer will develop and maintain ETL pipelines, optimize data flows, and collaborate on system architecture and performance, primarily using Python and AWS.

As a Senior Data Engineer at Avra, you'll design and operate data pipelines, manage data quality, and improve data platforms while collaborating across teams.

The Senior Data Engineer will design data integration systems, manage data pipelines, and ensure data architecture meets complex business needs while utilizing cloud-native solutions and AI tools.

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 Senior Data Engineer will design and maintain data transformation pipelines, manage databases and cloud infrastructure, ensuring accessible and efficient data processing while focusing on performance, scalability, and security.

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.