Top Data Engineer Jobs in Brasilia

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.

Design and maintain ETL/ELT data pipelines, manage Snowflake deployments, and optimize data processes for performance. Collaborate with stakeholders to support BI initiatives.

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.

The Data Engineer will design, optimize, and maintain data infrastructures, implement data pipelines, and ensure data governance while collaborating with various teams to support analytics and product development.

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.

Data Engineers design and maintain data architecture, create data processing pipelines, collaborate with data scientists, and ensure data quality and governance.

The role involves developing high-performance data storage modules using HDF5, optimizing I/O operations for HPC, and ensuring data integrity. Responsibilities include module design, performance evaluation, and technical documentation.

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.

As a Senior Python Engineer, you will build and maintain scalable data pipelines, collaborating with teams to design and optimize data solutions while taking ownership of projects from architecture to deployment.

As a Senior Data Engineer, you will build and maintain scalable data pipelines, ensuring efficient and secure data flows while collaborating with multiple teams to deliver solutions.

Lead the design, implementation, and maintenance of data architectures, ensuring scalability and quality with a focus on data solutions across AWS and GCP.

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

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 analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.

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

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.

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

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.

Lead the design, development, and maintenance of data infrastructure and analytics solutions on Azure, manage a team of data engineers, and ensure project delivery within Agile frameworks.

Senior Data Engineers at Thoughtworks develop and maintain data architecture, focusing on data solutions and collaboration with stakeholders while ensuring data quality and security.

Develop and optimize scalable data services and ETL pipelines for blockchain data analysis. Collaborate with teams to enhance data models and ensure system performance.

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 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.