Top Data Engineer Jobs in Rio de Janeiro

The Data Engineer will design and implement scalable data solutions, optimize data flow, build data platforms, and work with ETL/ELT processes.

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.

As a Data Engineer, you'll develop ETL processes using Python in Azure Synapse, design data warehouses, implement data quality checks, and collaborate on data-related projects.

As a Senior Data Engineer, you will create scalable backend services, manage data pipelines, and integrate AI features, ensuring performance and reliability.

The role involves designing and optimizing data pipelines, migrating legacy systems to Databricks, and collaborating with clients in a consulting capacity.

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.

Define and implement architectural solutions for data pipelines, drive best practices for ETL workflows, and lead client engagement in a consulting environment.

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.

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 Data Engineer will lead the development of scalable ETL pipelines and data lake infrastructure, ensuring timely and accurate data for business intelligence and analytics.

Lead data engineering efforts to build scalable ETL and data lake processes, support BI and analytics teams, and ensure data integrity across all business units.

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.

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.

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.

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 will manage SQL databases, focusing on optimization, performance tuning, and security while ensuring alignment with business objectives and mentoring team members.

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

The Senior Full-Stack Engineer will lead backend engineering, manage data pipelines, and optimize systems while collaborating with product and operations teams to improve outcomes.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

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