Top Data Engineer Jobs in Brasilia

As a Data Engineer, you will design and develop data processing pipelines, collaborate with data scientists, and ensure data quality. You'll utilize modern tools and frameworks to manage data applications, focusing on data governance and stakeholder management.

The Data Engineer will build infrastructure software for data pipelines and APIs, enhance system performance, mentor engineers, and ensure secure data access for clients.

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.

The Senior Data Engineer will design and maintain scalable data pipelines, implement ETL processes, ensure data quality, and collaborate with stakeholders.

As a Data Engineer, you will design and implement data pipelines using Python and various tools, ensuring efficient data flow and system performance.

Develop and maintain data models and pipelines, monitor data quality, collaborate with teams on data practices, and troubleshoot data-related issues in a cloud environment.

The Data Engineer will design and maintain systems for data collection and analysis, ensuring seamless data flow and quality for business operations.

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 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.

Develop and maintain data models, monitor data pipelines, collaborate with teams to enhance data accessibility, and ensure data quality in a cloud environment.

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

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.

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

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

As a Senior Data Engineer, you will build and maintain big data pipelines, engage in all software development phases, and collaborate with cross-functional teams to enhance system performance and stability.