Top Data Engineer Jobs in Rio de Janeiro

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 Data Engineer at Massive Rocket, you will design and implement data solutions using Databricks, manage data transformations, optimize performance, and collaborate with teams to drive business insights.

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 Data Engineer, you'll develop and maintain data models, manage data pipelines, and collaborate on improving data accessibility for analytics and reporting, ensuring data quality and reliability.

The Data Engineer will design and implement ETL/ELT processes, maintain data warehouses, and optimize data pipelines while collaborating with stakeholders.

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

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

You will design and implement AI systems to assess and improve the quality of web datasets, collaborating with data, product, and engineering teams.

The Senior Data & AI Engineer will design and develop data pipelines, implement GenAI solutions, and collaborate on scalable data projects utilizing SQL, Python, and Azure services.

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.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

Design data pipelines, build scalable infrastructure, implement automated QA, collaborate across teams, and ensure data accuracy in cloud environments.

As a Senior Product Engineer on the Data Insights team, you will design, build, and maintain features that help mobile developers grow their businesses, focusing on data-related solutions and product quality.

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.

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 QA Automation Engineer, you will design and maintain QA frameworks, build automated tests, and collaborate with data analytics teams to ensure quality in products.

The Senior Data Engineer will develop data pipelines, optimize data flow, manage AWS infrastructure, and collaborate with teams on data initiatives.

As a Senior Data Engineer, you will develop and maintain data models, design data pipelines, and ensure data quality, while leveraging big data concepts to improve user experience and recommendations.

As a Senior Data Engineer at Zencore, you will leverage Google Cloud to assist clients in data transformation and application modernization, covering ETL/ELT, data warehousing, and streaming data systems.