Top Data Engineer Jobs in Brazil

As a Data Engineer - Regulatory at Adyen, you will develop scalable data pipelines, optimize performance, and advocate for data best practices to ensure compliance with regulatory demands.

The Senior Professional Data Engineer will build data systems and integrations with o9 Solutions, ensuring efficient data processing and accessibility for decision-making.

The Data Engineer II will develop and implement data pipelines, enhance data collection mechanisms, troubleshoot issues, and architect scalable data products, collaborating with various teams to improve the data platform.

The Manager, Quality - Business Data Engineer will lead data governance and management, support AI/ML initiatives, and ensure compliance in data solutions while collaborating with various stakeholders.

The role involves automating the Data & Analytics platform using Terraform, implementing governance and compliance for analytics resources, and ensuring platform reliability and cost efficiency while collaborating with cross-functional teams.

The Advanced Real Time Engineer monitors drilling parameters, operates downhole tools, and collaborates with teams offshore to ensure efficient drilling operations.

The Data Engineer will design, build, and maintain scalable data pipelines using Apache Airflow, ensuring reliable data delivery and optimizing ETL processes.

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 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 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.

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.

As a Middle Data Engineer, you will design data architectures, build ETL/ELT pipelines, optimize analytical models, and ensure data quality. Engage with stakeholders to meet their data needs and support BI tools.

As a Security Context Engineer, you'll enhance Radiant's AI agent for alert triage accuracy, collaborating with experts and applying cybersecurity knowledge.

Design, build, and maintain scalable data pipelines and cloud solutions. Collaborate with teams on data architecture in Agile environments.

As a Data Engineer, you'll implement data extraction, build scalable data processing pipelines, manage data infrastructure, and enforce data governance and best practices.

The Senior AWS Data Engineer will design and develop backend data applications, enhance data frameworks, implement data processing, and collaborate with teams to solve technical challenges.

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.

Responsible for designing PDM processes, managing ERP master data, supporting supply chain optimization, and leading cross-departmental collaboration.

The role involves designing and implementing scalable applications, building backend services, developing ETL processes, and database management using Python and various technologies.

As a Machine Learning Engineer/Data Scientist, you'll build and deploy ML solutions, collaborate with stakeholders, and analyze data, focusing on achieving measurable business impact.

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