Top Data Engineer Jobs in Brazil

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

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 Engineer will analyze business data and create technical solutions, using SQL and other core tools to deliver data products.

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

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.

The Senior Data Engineer will design and maintain data transformation pipelines, manage databases and cloud infrastructure, ensuring data is processed efficiently while collaborating with teams to solve data challenges.

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 Software Engineer will enhance data ingestion pipelines, collaborate on AI datasets, and support model training operations at Speechify.

The Software Engineer will manage data collection for model training, enhance the ingestion pipeline, and collaborate on dataset development for AI products.

The Software Engineer will enhance data collection for model training by managing the ingestion pipeline and collaborating with scientists to improve data quality and cost.

Develop and manage scalable backend platform for analytical models using Python and MLFlow, ensuring data validation and model traceability while collaborating with teams.

The Senior Data Engineer will develop scalable data solutions, optimize data warehouses, and ensure data quality while collaborating with cross-functional teams.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

Senior Data Engineers build and maintain data architecture and infrastructure. They develop data processing pipelines, collaborate with data scientists, and ensure data quality and governance.

The Big Data Engineer will develop and maintain ETL pipelines, optimize data flows, and collaborate on system architecture and performance, primarily using Python and AWS.

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 Software Engineer 2, you'll design and build scalable data ingestion pipelines, contribute to batch and streaming flows, and support observability for WEX's data platform.

The Senior Data Engineer will design, build, and maintain data pipelines on AWS, implement data lakes and warehouses, and foster collaboration with stakeholders for scalable data solutions.

Design and evolve data platform ensuring reliability and scalability, implement data services, support production operations, and promote best practices in collaboration with teams.

The Software Engineer will develop and maintain data pipelines, manage data lakehouse solutions, ensure data reliability, and support intelligent features.

Lead the data engineering efforts by building scalable data pipelines, optimizing ETL processes, and enhancing analytics infrastructure to support growth.

Lead scalable data engineering efforts by building and optimizing ETL and data lake processes to support cross-functional teams with reliable data.

The Senior Data Engineer will lead the development of scalable data pipelines and infrastructure to support analytics, ensuring data quality and collaboration across teams.

Lead data engineering efforts by building scalable ETL pipelines and supporting cross-functional teams with reliable data for analytics and business intelligence.

Lead data engineering efforts to create scalable ETL pipelines and data lake infrastructure, ensuring data integrity and supporting business intelligence needs.