Top Data Engineer Jobs in Sao Paulo

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.

This role provides technical expertise for database marketing solutions, focuses on SQL proficiency, and involves creating and modifying database code.

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

Join the Data Foundry team as a Data Engineer, building pipelines and infrastructure for AI workflows, ensuring data quality and governance while maintaining and optimizing ETL processes.

As a Data Engineer, you'll design and maintain data models and pipelines, collaborate with teams, and ensure high-quality data for analytics.

The Data Engineer will build and maintain data pipelines, improve workflows, support data modeling, and enhance system reliability while collaborating with senior engineers.

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.

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 design and maintain scalable data pipelines and support ML workflows, ensuring reliability and performance of data systems.

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.

As a Senior Data Engineer, you will design, develop, and maintain data pipelines and models, leading analytics initiatives and fostering collaboration with stakeholders to address complex business challenges using data solutions.

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 Data Platform Engineer will design and implement ETL pipelines, develop APIs for data retrieval, and manage scalable storage, contributing to backend engineering efforts and data product development.

Lead design and delivery of BI solutions: understand business needs, prepare and cleanse data, build Power BI visualizations and semantic models, ensure data accuracy, optimize performance, enable self-service BI, train stakeholders, and mentor team members.

As a Sr. Data Engineer, you'll build and scale high-throughput streaming pipelines, model real estate datasets, and improve data quality using AI-driven tools in a fast-paced environment.

Lead scalable data engineering efforts to empower teams with actionable data, build and manage ETL pipelines, and support BI and analytics for strategic growth.

Lead data engineering initiatives to build scalable ETL pipelines and enhance data infrastructure supporting analytics and business intelligence.

The role involves providing technical expertise in database marketing solutions, including creating code, operational support, and participating in design reviews.

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 Analytics Engineer will build and maintain ETL data pipelines, collaborate with teams for data modeling and promote best practices for data governance.

As an AI Data Engineer, you will build end-to-end data pipelines, collaborate on AI features, and ensure data quality across our systems.

The Data Engineer will design and build Spark data ETL pipelines on AWS, collaborate with teams, optimize data infrastructure, ensure data quality, and maintain operational excellence.