Top Data Engineer Jobs in Sao Paulo

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.

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

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.

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.

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.

Design, implement, and maintain scalable data pipelines while collaborating with cross-functional teams to enhance data quality and support decision-making.

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 Senior Data Engineer will manage end-to-end data processing, develop ETL/ELT pipelines, and collaborate with BI teams to provide insights using complex datasets.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

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.

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

Design, develop, and maintain data pipelines and ETL processes; ensure data quality and optimize performance; collaborate with cross-functional teams and mentor others.

The Senior Software Engineer will lead the design and development of scalable data acquisition systems, mentor engineers, and ensure high-quality code practices while integrating various internal and external data sources.

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.

As a Staff Technical Solutions Engineer, you will resolve customer issues related to Apache Spark, provide guidance on best practices, and assist customers in optimizing their use of Databricks products.

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.

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.

As a Semi Senior Data Engineer, you'll design and maintain ETL pipelines on AWS, collaborate with cross-functional teams, and enhance data solutions using emerging technologies.

As a Senior Data & Insight Engineer, you'll ensure data accuracy and accessibility, develop data pipelines, and collaborate on data processing using Python and cloud platforms.

As a Senior Data Engineer, you will analyze data, validate data quality, manage client projects, and collaborate with internal and external staff to improve healthcare solutions.

Develop and maintain ETL pipelines and data integrations, optimize data flows, and troubleshoot production issues using AWS, Python, and SQL.

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'll build and maintain data pipelines, ensuring efficient data flow and collaborating with teams to deliver reliable solutions for the company.

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