Top Data Engineer Jobs in Brazil

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 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.

The Senior Data Engineer will modernize the client's data platform, focusing on pipeline migration and implementing a dbt-based transformation framework, while collaborating with engineering teams for knowledge transfer.

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.

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.

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.

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.