Top Data Engineer Jobs in Rio de Janeiro

The Business Intelligence Data Analyst role involves data modeling, analyzing datasets for actionable recommendations, and driving automation solutions for business processes while ensuring effective governance and tracking KPIs.

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.

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 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 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.

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.

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.

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

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

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.

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