Top Data Engineer Jobs in Fortaleza

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.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

Design, build, and maintain scalable data pipelines and cloud solutions. Collaborate with teams on data architecture in Agile environments.

As a Data Engineer at Caylent, you will collaborate with architects and engineers to design data pipelines, deliver AWS solutions, and troubleshoot issues, all while ensuring exceptional client experiences.

The Tech Lead Machine Learning/Data Engineer will develop and integrate machine learning models, evaluate their performance, and adapt them for high-demand environments while collaborating with distributed teams.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

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 will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

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

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

The Senior Data Engineer will design and implement data streaming and batch systems, ensuring reliability and efficiency for analytics and automation at scale while collaborating across teams.

The Senior Backend Software Engineer will architect data solutions, build ETL/ELT pipelines, ensure data quality, and mentor engineers within the data platform team.

Design and maintain data pipelines, implement analytics solutions, manage machine learning workflows, and collaborate with stakeholders in BI initiatives.

As a Senior Data Warehouse Engineer, you'll design and optimize cloud-native data warehouse solutions, build ETL/ELT pipelines, and ensure data governance while collaborating across teams to enable AI-ready infrastructure.

The Senior Data Engineer at Thoughtworks is responsible for developing and operating modern data architecture, building data pipelines, collaborating with data scientists, and ensuring data quality and governance. This role entails using big data tools and implementing data security strategies to meet business objectives.

Senior Data Engineers build and maintain data architecture and infrastructure. They develop data processing pipelines, collaborate with data scientists, and ensure data quality and governance.

As a Senior Data Platform Engineer, you'll design and maintain core platform infrastructure, optimize systems for performance, and collaborate on data-driven product development.

The Senior Data Engineer will design and maintain scalable data platforms using Snowflake, lead ETL/ELT pipelines, and collaborate in an Agile environment.

As a Senior Data Engineer, you'll design scalable data pipelines, optimize data warehousing, ensure data quality, and lead cross-functional analytics projects enhancing user experiences.

The Senior Data Engineer at Sauce will build and optimize data infrastructure and lakehouse architecture, manage data governance, and implement data quality tests using Azure Databricks. Responsibilities include improving CI/CD pipelines and connecting various data sources.

The role involves optimizing data ingestion, developing automated pricing systems, improving data visibility, and ensuring data quality through advanced checks. Requires experience in backend development and system design.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.