Top Data Engineer Jobs in Brazil

The Senior Data Engineer will design and implement data streaming and batch systems, ensuring reliability and efficiency for analytics and automation at scale while collaborating across teams.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

Lead the development of adtech capabilities on a big data platform, collaborate with stakeholders, and improve internal processes while adhering to coding standards.

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.

Lead data engineering efforts to build scalable ETL processes and data lakes, ensuring data integrity and supporting BI and analytics across teams.

Lead data engineering efforts to build scalable ETL pipelines and data infrastructure, ensuring data quality and supporting BI and analytics teams.

Lead data engineering efforts, building scalable ETL and data lake processes, and ensuring analytics infrastructure supports strategic growth through reliable data access.

Lead scalable data engineering efforts to deliver reliable data for cross-functional teams, optimizing ETL processes and supporting analytics and BI infrastructure.

Lead data engineering efforts, managing scalable ETL pipelines and data lake infrastructure to support business intelligence and analytics, ensuring data quality and collaboration across teams.

Lead data engineering efforts to build and manage ETL pipelines, ensure data quality, and support BI and analytics teams, enhancing strategic growth.

Lead data engineering efforts, focusing on scalable ETL pipelines and data infrastructure to support analytics and business intelligence for strategic growth.

Lead data engineering efforts, building scalable ETL and data lake processes. Collaborate with teams to ensure timely, reliable data supports business growth and analytics.

Lead scalable data engineering efforts to ensure actionable data drives strategic growth, while optimizing ETL processes and supporting analytics teams.