Top Data Engineer Jobs in Brazil

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

The Senior Software Engineer will develop and maintain scalable data pipelines, collaborate with Data teams, and ensure data accuracy and reliability for Subscriber Views.

The Senior Data Engineer will design, build, and maintain data pipelines on AWS, implement data lakes and warehouses, and foster collaboration with stakeholders for scalable data solutions.

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.

The Software Engineer will develop and maintain data pipelines, manage data lakehouse solutions, ensure data reliability, and support intelligent features.

As a Software Engineer 2, you'll design and build scalable data ingestion pipelines, contribute to batch and streaming flows, and support observability for WEX's data platform.

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 Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

As a Senior Data Engineer, you will design and maintain data applications, enforce coding standards, lead code reviews, and collaborate with cross-functional teams to optimize performance and scalability.

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.

As a Staff Data Engineer, you'll design and implement governance frameworks, optimize data costs, build reusable templates, and ensure data quality and compliance using GCP.

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