Top Data Engineer Jobs in Sao Paulo

Design and build data architectures, optimize data pipelines, and ensure data reliability for analytics and machine learning purposes.

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 role involves designing and optimizing distributed data systems, building real-time data pipelines, and mentoring engineers while focusing on scalable data architecture and AI infrastructure.

Lead design, build, and optimize scalable cloud data pipelines and platforms using AWS, Snowflake, DBT, Airflow, Python, Docker, and Terraform. Collaborate across teams, drive project delivery, and implement AI/LLM solutions (RAG, LangChain, vector DBs) to enable intelligent data workflows while mentoring and providing technical leadership.

Lead ownership of end-to-end data pipelines for Marketing, Product, and Growth analytics. Integrate multiple systems, model data, process GA4 event data at scale, build identity-resolution pipelines, and collaborate with product, marketing, and leadership to enable reliable data flows and actionable insights.

Build and maintain MarkTech data integrations and pipelines using Segment, Braze, SQL and data warehouses. Implement identity resolution, webhook-based ingestion/activation, event tracking, and customer data models. Integrate marketing platforms (Braze, Drip, Shopify) with warehouses (BigQuery, Redshift) and support ETL/ELT and activation strategies.

The Analytics Engineer will build and maintain ETL data pipelines, manage data modeling, and collaborate with stakeholders to improve data processes.

This role involves redesigning a data architecture using scalable databases, implementing ETL processes, maintaining Power Apps synchronization, and providing consultative support.

Design, build, and operate scalable data pipelines and cloud solutions, focusing on monitoring and automation while working with AWS services.

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.

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.

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

The Senior Software Engineer II will design, implement, scale, and maintain production systems, focusing on backend development, while collaborating with the Measurement team and mentoring others.

The Data Visualization Engineer designs and implements data models and visualizations in Power BI while ensuring data accuracy and quality for clients' decision-making processes.

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 Senior Data Engineer will deliver data management solutions on AWS, develop ETL jobs, manage data warehouses, and troubleshoot related issues while collaborating with cross-functional teams.

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

The Backend/Data Software Engineer will develop scalable backend services, design data pipelines, and optimize database systems while collaborating with product and analytics teams.

As a Senior Data Engineer at Zencore, you will leverage Google Cloud to assist clients in data transformation and application modernization, covering ETL/ELT, data warehousing, and streaming data systems.

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.

The Senior Data Engineer will design and build event-driven, near real-time data ingestion and Lakehouse architecture using tools like AWS, Snowflake, and Kafka, ensuring data reliability and governance.

The Data Analyst will design interactive dashboards, model data, perform ETL processes, and collaborate with teams to enhance data-driven decisions using Power BI.

As a Senior Data Engineer, you will design scalable data pipelines, migrate Azure Synapse to Databricks, develop Data Warehouses, and ensure data quality across platforms.

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.

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.