Top Data Engineer Jobs in Sao Paulo

As a Software Engineer, you will develop data pipelines and services for blockchain data ingestion and analysis, collaborating with various teams to enhance 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 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.

The Software Engineer will develop data platforms, collaborate with teams, implement data pipelines, optimize application performance, and ensure code quality.

As a Senior Data Engineer, you'll handle data from millions of users and campaigns, developing solutions and supporting performance marketing operations.

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.

Seeking a skilled Data Engineer with Apache Airflow experience to design, build, and maintain scalable data pipelines, optimize ETL processes, and provide technical leadership while collaborating with cross-functional teams.

Senior Data Engineers at Thoughtworks develop and maintain data architecture, focusing on data solutions and collaboration with stakeholders while ensuring data quality and security.

As a Data Science Engineer, you'll design and maintain scalable data pipelines, manage MLOps practices, and collaborate with teams to enhance machine learning systems.

The Senior Data Engineer at Thoughtworks is responsible for developing and operating modern data architecture, building data pipelines, collaborating with data scientists, and ensuring data quality and governance. This role entails using big data tools and implementing data security strategies to meet business objectives.

The Senior Data Engineer at phData designs and implements data solutions, ensuring performance and security, while developing end-to-end systems utilizing cloud platforms and programming expertise.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

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

Lead the design and implementation of data test strategies, ensure data reliability, debug quality issues, and maintain automated test frameworks using Python and dbt.

Design, build, and optimize high-performance data pipelines, manage data integration processes, and improve Sezzle's data ecosystem, focusing on reliability and scalability.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.