Top Data Engineer Jobs in Fortaleza

As a Sr. Data Engineer, you'll build and scale high-throughput streaming pipelines, model real estate datasets, and improve data quality using AI-driven tools in a fast-paced environment.

As an ETL Data Engineer, you will design, develop, and maintain data integration processes using Python and Azure Synapse Analytics, ensuring data accuracy for insights and decision-making.

As a Senior Data Engineer, you will create scalable backend services, manage data pipelines, and integrate AI features, ensuring performance and reliability.

Transform data into actionable insights using SQL and Python. Develop models, create dashboards, and present findings to senior leadership.

Join a remote team to upgrade a Marketplace Analytics Data Platform. Responsibilities include developing data pipelines, managing data models, and ensuring data reliability for analytics purposes.

Responsible for managing data acquisition, curation, and publishing for analytics, developing data products, and creating scalable data pipelines.

The Data Engineer will migrate ETL jobs from Talend to Snowflake, validating and documenting the process, while building data quality frameworks and diagnostic tools.

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.

The Data Engineer will implement ETL/ELT solutions, design data pipelines, ensure data security, and optimize data processing systems. Responsibilities include data transformation and compliance collaboration.

We are looking for a Staff Software Engineer for our MLS data platform to develop data pipelines, backend services, and AI-driven features for the real estate industry.

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.

As a Data Engineer, you will design and maintain data products that support game performance tracking, create integrations with APIs, and enhance data platform reliability and performance.

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.

Lead the design and implementation of robust data pipelines and ecosystems. Ensure scalability and reliability while mentoring team members in best practices.

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

Lead data engineering projects, collaborating with stakeholders to design and implement scalable data architecture and pipelines, ensuring data governance and quality.

The Senior Software Engineer II will design, implement, scale, and maintain production systems, focusing on backend development, while collaborating with the Measurement team and mentoring others.

As a Senior Backend Software Engineer, you'll design scalable data pipelines and cloud solutions, ensuring data quality and governance while mentoring engineers and collaborating on cross-functional projects.

The Senior Data Engineer will deliver data management solutions on AWS, develop ETL jobs, manage data warehouses, and troubleshoot related issues while collaborating with cross-functional teams.

The role involves designing and implementing scalable applications, building backend services, developing ETL processes, and database management using Python and various technologies.

The Backend/Data Software Engineer will develop scalable backend services, design data pipelines, and optimize database systems while collaborating with product and analytics teams.

The Data Platform Engineer will design and implement ETL pipelines, develop APIs for data retrieval, and manage scalable storage, contributing to backend engineering efforts and data product development.