Top Data Engineer Jobs in Brazil

The Software Engineer will manage data collection for model training, operate cloud infrastructure for ingestion pipelines, and collaborate with scientists to enhance data quality and scale.

As a Software Engineer, you will handle data collection for model training, manage cloud infrastructure, and support AI team collaboration.

As a Software Engineer for the Data AI team at Speechify, you'll handle data collection, manage the ingestion pipeline on GCP, and work with the AI team to optimize data for model training.

The Software Engineer will manage data collection for model training, improve ingestion pipelines, and collaborate with AI teams to enhance data processing quality and scale.

As a Software Engineer for Data Infrastructure & Acquisition, you'll source audio data, manage cloud infrastructure, and work with AI scientists on data workflows.

Join Cint as a Senior Software Engineer II to design, implement, and maintain scalable backend systems for data solutions. Engage in innovative projects within a collaborative team while mentoring others.

Lead the design and development of scalable data acquisition systems, architect platform components, and provide technical leadership while ensuring data integrity and high performance.

Design, build, and maintain scalable data models and pipelines to ingest, transform, and ensure quality of multi-format partner data for analytics, recommendations, and product teams.

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

Seeking a skilled Data Engineer with Apache Airflow experience to design, build, and maintain scalable data pipelines, optimize ETL processes, and provide technical leadership while collaborating with cross-functional teams.

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.

As a Senior Backend Software Engineer, you'll design scalable data pipelines and cloud solutions, ensuring data quality and governance while mentoring engineers and collaborating on cross-functional projects.

The role involves designing and implementing scalable applications, building backend services, developing ETL processes, and database management using Python and various technologies.

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

As a Machine Learning Engineer/Data Scientist, you'll build and deploy ML solutions, collaborate with stakeholders, and analyze data, focusing on achieving measurable business impact.

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.

Design and build mission-critical, highly scalable data services and pipelines that analyze petabyte-scale blockchain data, architect low-latency data models, and collaborate with data scientists, backend engineers, and product managers to deliver production features.

Design, build, and maintain cloud (AWS) data infrastructure and scalable data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte. Collaborate with data scientists, ML engineers, and product teams to deliver data models, CI/CD deployments, and self-service tooling to support analytics and business decision-making.

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 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.

Lead design and optimization of enterprise Snowflake data warehouses, build scalable Python data pipelines, implement Airflow orchestration, enforce security and DataOps best practices, and manage cloud IaC on AWS with Terraform/CDK/CloudFormation.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.