Top Data Engineer Jobs in Brazil

As a Data Engineer, you will implement data extraction solutions, build data processing pipelines, and maintain scalable data infrastructure while ensuring data governance and quality.

As a Senior Snowflake Data Engineer, you'll design and optimize data pipelines, support datasets for products, and automate data processes while providing technical expertise.

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.

The Data Engineer will develop data-driven solutions, implement and optimize data pipelines, automate workflows, and collaborate with stakeholders and data scientists to ensure data quality and architecture effectiveness.

The Data Engineering Specialist will define, develop, and maintain data pipelines, collaborate with teams for decision intelligence, and implement quality control processes using various data engineering tools.

The Data Engineer will develop ETL processes, build data pipelines, and optimize data architecture while collaborating with stakeholders and ensuring data integrity.

As a Data Engineer, you'll maintain and enhance a data ingestion pipeline, collaborate with data scientists and engineers, and implement features for efficiency and scalability.

As a Midlevel Data Engineer, you will develop data models, design data pipelines, and ensure data quality, while collaborating with different teams to improve user experiences.

As a Data QA Engineer, you'll own the QA process, develop test plans, analyze test results, collaborate with cross-functional teams, and ensure product quality for AI/ML models.

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.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

As a Senior Data Engineer, you will design data solutions, build pipelines, develop APIs, and maintain CI/CD practices within Azure, ensuring high-quality deliverables.

The Senior Data Engineer will build and maintain data infrastructure, develop ETL pipelines, and collaborate across teams to optimize data for TRM's products, focusing on security and performance.

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

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

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

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.

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.

Lead design and evolution of the data platform, optimize data services and pipelines, manage production operations, and mentor engineering staff.

As a Senior Data Engineer, you will build and maintain data pipelines and architecture, collaborate with data scientists, ensure data governance, and support data-driven solutions while utilizing modern tools and platforms.

The Data Support Engineer will provide support in production environments, manage data pipelines, perform server upgrades, and troubleshoot issues while collaborating with the client's warehouse environments.

The Analytics Architect will lead data engineering, modeling, and reporting efforts, ensuring data quality and guiding business requirements. They will create dashboards, analyze data, and provide strategic insights in advertising.

The Staff Systems Engineer will lead the evolution of the SRE team for the Data Platform focusing on automation, reliability, incident management, and performance optimization while mentoring junior engineers.