Top Data Engineer Jobs in Brazil

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

Design and implement high-throughput data pipelines for trading and analytics; optimize performance and reliability; collaborate with teams on blockchain data processing.

Develop and optimize data processing infrastructure for robotic systems, enabling data access and visualization, supporting engineering teams with insights from logs.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

The Sr. Data Engineer will develop and manage data pipeline architectures, analyze data from various sources, build analytics tools, and support business users with actionable insights.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Senior Engineer, you will build scalable data solutions, lead design sessions, and mentor engineers while driving innovation in data analytics.

As a Senior Data Engineer, you will leverage GCP services and strong SQL and Python skills to enhance data analytics for clients, integrating data from various sources and utilizing ETL processes.

The Sr Data Services Developer will support data reporting solutions, manage data processes, optimize data integration, and work with stakeholders on analytics and operational reporting.

As a Senior Data Analytics Engineer, you'll analyze and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to meet their data needs.

The Senior Data Science Engineer will develop and productionize machine learning models, manage data pipelines, and improve algorithms for optimal performance.

The Data Integrations Engineer will manage data ingestion, transformation, and export processes, collaborating with clients for integrations and troubleshooting issues.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

The Sr Data Engineer will design data pipelines, collaborate on ETL projects, implement data quality checks, and document engineering processes.

The Senior Data Engineer will design and optimize data pipelines on GCP, focusing on microservices, data integrity, and governance while collaborating with cross-functional teams.

Design and develop scalable ETL/ELT pipelines and data processing systems using GCP, mentor junior engineers, and manage complex datasets for CVS healthcare solutions.

The BI Developer will design and maintain reports and dashboards, optimize SQL queries, and collaborate with clients to enhance data usability.

As a Data Engineer, you'll build data infrastructure for analytics, drive business growth strategies, and enhance personalized user experiences at Eight Sleep.

Design, build, and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders for data-driven decisions.

As a Senior Data Engineer at Roku, you'll design data models, create scalable pipelines, and ensure data quality for business metrics analysis.

As a Senior Data Engineer, you will develop and maintain data solutions, collaborate to meet data needs, and support automation efforts within a healthcare-focused startup.

The Senior Data Engineer designs and maintains data infrastructure, processes data from various sources, optimizes workflows, and collaborates with stakeholders to provide data insights.