Top Data Engineer Jobs in Brazil

The Data Engineer will build and maintain data pipelines, improve workflows, support data modeling, and enhance system reliability while collaborating with senior engineers.

Design and implement a scalable data platform, develop data pipelines, ensure data quality, and enable self-service analytics for stakeholders.

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.

The Data Engineer will design and maintain scalable data pipelines and support ML workflows, ensuring reliability and performance of data systems.

As a Senior Data Engineer, you will design, develop, and maintain data pipelines and models, leading analytics initiatives and fostering collaboration with stakeholders to address complex business challenges using data solutions.

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.

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

Provide technical solutions and consulting for Apache Spark/Machine Learning issues, assisting customers in utilizing Databricks for analytics and AI tasks while performing troubleshooting and performance tuning.

The Senior Full-Stack Engineer will lead backend engineering, manage data pipelines, and optimize systems while collaborating with product and operations teams to improve outcomes.

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.

The Senior Machine Learning Engineer at AB InBev will design and implement ML systems and pipelines to drive AI's mission for the Growth Group.

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 design and delivery of BI solutions: understand business needs, prepare and cleanse data, build Power BI visualizations and semantic models, ensure data accuracy, optimize performance, enable self-service BI, train stakeholders, and mentor team members.

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 role involves building and managing data ingestion pipelines, collaborating with AI scientists, and ensuring efficient data collection for model training at Speechify.

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.

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

Lead data engineering efforts by building scalable ETL and data lake processes. Collaborate across teams to ensure reliable data supports strategic growth and improve user engagement.

The Senior Data Engineer will lead the creation of scalable ETL processes and data lakes, ensuring reliable data for analytics and BI, and drive strategic growth through data-driven insights.

Lead the development of scalable data engineering solutions, managing ETL pipelines and data lakes, while collaborating across teams to enable effective data-driven decision-making.

The Senior Data Engineer will lead the development of scalable ETL pipelines and data lake infrastructure while collaborating with cross-functional teams to ensure data quality and accessibility for business intelligence and analytics.

Lead scalable data engineering initiatives, optimizing ETL and data lake processes, collaborating across functions to deliver actionable data for business growth.

Lead scalable data engineering efforts, optimize ETL and data lake processes, and support cross-functional teams with reliable data for strategic growth.