Top Data Engineer Jobs in Brazil

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.

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 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.

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.

As a Software Engineer, you will design and build scalable data services to analyze blockchain transactions, collaborating with data scientists and engineers.

As a Business Data Engineer, you will build and maintain scalable data pipelines, ensure data quality and governance, and automate data processes while collaborating with the team.

The Data Engineer will work with a team to create applications, educate clients on Machine Learning, and ensure data quality and project success.

The Tech Lead Machine Learning/Data Engineer will develop and integrate machine learning models, evaluate their performance, and adapt them for high-demand environments while collaborating with distributed 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 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 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 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.

Design and optimize large-scale data architectures and pipelines on Databricks. Collaborate cross-functionally to enhance analytics capabilities while ensuring data integrity and governance.

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 Staff Technical Solutions Engineer, you will resolve customer issues related to Apache Spark, provide guidance on best practices, and assist customers in optimizing their use of Databricks products.

Senior Data Engineers build and maintain data architecture and infrastructure. They develop data processing pipelines, collaborate with data scientists, and ensure data quality and governance.