Top Data Engineer Jobs in Brazil

The Data Engineer will develop data ingestion pipelines and data models on Google Cloud, optimizing SAP systems and ensuring data integrity for the LA Finance team.

We are looking for a Staff Software Engineer for our MLS data platform to develop data pipelines, backend services, and AI-driven features for the real estate industry.

Develop and optimize data pipelines, manage ETL processes, ensure data integrity, support BI tools, and collaborate with teams for analytics needs.

As a Senior Data Engineer, you'll design and maintain data pipelines and ETL processes, optimizing systems for performance and reliability while mentoring junior engineers.

Designs, builds, and maintains scalable batch and streaming data pipelines, APIs and integrations; prepares and cleanses data; creates data models, reporting, dashboards, and access methods; applies NLP and AI/ML techniques; follows data governance; estimates and plans work for agile sprints with limited supervision.

The Master Data Engineer will design and maintain data pipelines, ensure data quality, and remediate master data issues in collaboration with various teams.

The Data Engineer will design, build, and maintain scalable data pipelines using Apache Airflow, ensuring reliable data delivery and optimizing ETL processes.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

The Software Engineer will design and implement search architecture to enhance data discoverability, handle significant feature ownership, perform code reviews, and mentor junior members in a Kubernetes environment.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.

The Data Engineer role involves creating and managing data pipelines, optimizing data infrastructure, and automating data processes using tools like Snowflake, dbt, and Terraform.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

A Data Engineer will build and maintain data infrastructure, focusing on data ingestion, transformation, and modeling to support various teams. Responsibilities include designing data pipelines, ensuring data quality, and collaborating with analytics teams.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

Lead the design and implementation of robust data pipelines and ecosystems. Ensure scalability and reliability while mentoring team members in best practices.

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 an AI-powered web application that integrates data insights, mentors junior developers, and ensures high-quality delivery.

The Senior Data Engineer will design data integration systems, manage data pipelines, and ensure data architecture meets complex business needs while utilizing cloud-native solutions and AI tools.

Lead data engineering projects, collaborating with stakeholders to design and implement scalable data architecture and pipelines, ensuring data governance and quality.

Develop AI-powered data mapping recommendation platform, automate data extraction and validation, build scalable data pipelines, and manage data governance.

Design and implement a scalable data platform, develop data pipelines, ensure data quality, and enable self-service analytics for stakeholders.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Staff Data Engineer, you'll design and implement governance frameworks, optimize data costs, build reusable templates, and ensure data quality and compliance using GCP.

The Senior Data Engineer will design, implement, and optimize data pipelines and processes, ensuring data access and quality across systems while collaborating with backend and analytics teams.