Top Data Engineer Jobs in Fortaleza

Develop and maintain data models and pipelines, monitor performance, ensure data quality, collaborate with teams, and document processes.

The Data Engineer designs and maintains data pipelines, automates infrastructure, manages data transformation with dbt, and optimizes data performance. They ensure security, collaborate with teams, and stay current with technologies.

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

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.

The Data Engineer will design, build, and maintain data platforms for financial services, developing pipelines, ensuring compliance, collaborating with teams, and optimizing systems.

The People Data Engineer will develop and analyze HR metrics, support advanced analytics initiatives, and optimize data pipelines using workforce data.

As a Senior Data Engineer, you will build and maintain scalable data pipelines, collaborate with teams, and ensure efficient data flows to impact company operations.

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

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 applies analytics to improve business results, develops data pipelines, and deploys models, partnering with IT teams.

As a Data Engineer, you'll translate business data stories into technical structures, and design, build, test, and implement data products.

The Data Engineer will gather requirements, create data products, develop data pipelines, and enhance data delivery for the insurance sector.

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

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

As a Senior Software Engineer on the Data Platform Team, you'll enhance data systems, advocate for software quality, collaborate with teams, and promote the wellbeing-oriented culture.

The Senior Data Engineer will design and maintain data pipelines, ensure data quality, and collaborate with stakeholders to meet data needs, focusing on advertising data integration and processing.

Lead the design and development of Databricks-based big data solutions. Provide mentorship, oversee project implementations, and support pre-sales technical efforts.

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.

The Data Integration Engineer will design, maintain, and optimize data integration processes, ensuring smooth data flow across hybrid IT landscapes and supporting business objectives.

The Data Engineer will maintain and optimize data pipelines, ensure data quality, troubleshoot issues, and collaborate with cross-functional teams.

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

Collaborates on analytics frameworks, leads metric standardization, designs analytical solutions, and enhances data governance and architecture at RecargaPay.

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 Senior Machine Learning Engineer will design, develop, and deploy ML models in the life sciences using Palantir Foundry. Responsibilities include collaborating with teams to ensure robust workflows and operationalizing models while ensuring regulatory compliance.