Top Data Engineer Jobs in Brazil

Design, build, and optimize high-performance data pipelines, manage data integration processes, and improve Sezzle's data ecosystem, focusing on reliability and scalability.

Lead design and evolution of the data platform, optimize data services and pipelines, manage production operations, and mentor engineering staff.

As a Senior Data Engineer, you will build and maintain data pipelines and architecture, collaborate with data scientists, ensure data governance, and support data-driven solutions while utilizing modern tools and platforms.

Fusemachines is seeking experienced Senior Data Engineers to design and optimize scalable data pipelines and cloud-native architectures using modern technologies. This role targets candidates for future opportunities in data engineering, ensuring a quick evaluation process.

The Data Support Engineer will provide support in production environments, manage data pipelines, perform server upgrades, and troubleshoot issues while collaborating with the client's warehouse environments.

The Staff Systems Engineer will lead the evolution of the SRE team for the Data Platform focusing on automation, reliability, incident management, and performance optimization while mentoring junior engineers.

The Senior Data Engineer designs and maintains data pipelines and systems, collaborates with teams, and optimizes data workflows using cloud technologies.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

As a Senior Data Engineer, you will build and maintain big data pipelines, engage in all software development phases, and collaborate with cross-functional teams to enhance system performance and stability.

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.

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 Data Platform Engineer will enhance metadata management using OpenMetadata, optimize ingestion pipelines, and improve system reliability through backend development and integration.

As a Senior Data Engineer, you will architect and maintain data pipelines, integrate diverse data sources, create dashboards, and guide architectural decisions to enhance data-driven insights.

The Senior Data Engineer designs, develops, and implements data pipelines and analytics solutions using Azure Databricks, ensuring data quality and compliance with architecture standards.

As a Senior Data Engineer at Zencore, you will leverage Google Cloud to assist clients in data transformation and application modernization, covering ETL/ELT, data warehousing, and streaming data systems.

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.

You will design and implement AI systems to assess and improve the quality of web datasets, collaborating with data, product, and engineering teams.

Develop and enhance software solutions for data-intensive applications, focusing on large data volumes and event-driven architectures using Go and C++.

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 an intern in the data science team, you will create mathematical models, implement algorithms, and gather client feedback to improve solutions in fraud detection and claims automation.

Lead the design, implementation, and management of enterprise data solutions using cloud technology, focusing on data engineering and analytics.

Design and maintain data pipelines and architectures on Azure, ensuring data quality and reliability for analytics and business intelligence initiatives.

Lead test data management, implement strategies, build automated pipelines, ensure compliance with standards, and mentor teams in a financial solutions company.

As a Data Engineer, you will implement data extraction solutions, build data processing pipelines, and maintain scalable data infrastructure while ensuring data governance and quality.

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