Top Data Engineer Jobs in Fortaleza

The role involves designing and optimizing data pipelines, migrating legacy systems to Databricks, and collaborating with clients in a consulting capacity.

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.

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.

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.

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

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.

Lead scalable data engineering efforts that empower cross-functional teams with reliable data, building ETL pipelines and managing data infrastructure.

Lead data engineering efforts to build scalable ETL pipelines and a data lake infrastructure, ensuring accurate and timely data delivery across teams to drive strategic growth.

As an AI Data Engineer, you will build end-to-end data pipelines, collaborate on AI features, and ensure data quality across our systems.

The Data Engineer will design and build Spark data ETL pipelines on AWS, collaborate with teams, optimize data infrastructure, ensure data quality, and maintain operational excellence.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

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.

As a Senior Backend Engineer, you will build and maintain backend services, design data pipelines, optimize database performance, and collaborate with cross-functional teams to drive data-driven outcomes.

The Data Analyst will design interactive dashboards, model data, perform ETL processes, and collaborate with teams to enhance data-driven decisions using Power BI.

Lead and mentor a data engineering team to develop scalable automation solutions, manage data migration from Snowflake to Azure, and ensure best practices in data engineering standards and CI/CD workflows.

As a Senior Data Engineer, you will design scalable data pipelines, migrate Azure Synapse to Databricks, develop Data Warehouses, and ensure data quality across platforms.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

The Data Integration Engineer is responsible for designing, maintaining, and optimizing data integration processes across various IT systems, ensuring data quality and alignment with business needs.

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.

The Principal Engineer for Data Infrastructure will manage database systems and data warehousing, optimizing performance and integrating new technologies in a fast-paced fintech environment.