Top Data Engineer Jobs in Brazil

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.

Lead design and implement Flink 2.x streaming pipelines for IoT sensor data on Azure, build custom ProcessFunctions and data-quality gates, optimize state backends and clusters, integrate shared libraries, enforce data governance, and participate in Agile delivery.

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 Software Engineer will design and implement search architecture to enhance data discoverability, handle significant feature ownership, perform code reviews, and mentor junior members in a Kubernetes environment.

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.

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 role involves creating and managing data pipelines, optimizing data infrastructure, and automating data processes using tools like Snowflake, dbt, and Terraform.

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.

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.

The Data Engineer will design, build and optimize data pipelines, manage database operations, and ensure data quality and consistency across platforms.

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.

The Data Engineer will execute data migration to Snowflake, adapt existing pipelines, develop workflows in Apache Airflow, and ensure data reliability.

The Azure Data Engineer will design and build scalable data pipelines using Azure technologies, work closely with teams for data solutions, and optimize data workflows.

The Data Engineer II will design, develop, and maintain scalable, reliable data pipelines, collaborating with software engineering, analytics, and product teams.

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 Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.

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

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

The Data Integration Engineer is responsible for designing, maintaining, and optimizing data integration processes across various IT systems, ensuring data quality and alignment with business needs.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.