Top Data Engineer Jobs in Rio de Janeiro

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.

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.

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

Transform data into actionable insights using SQL and Python. Develop models, create dashboards, and present findings to senior leadership.

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.

Responsible for data collection to support model training operations. Involves working with cloud infrastructure, collaborating with AI scientists, and improving data processing.

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

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.

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.

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

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.

Design and implement scalable data pipelines, maintain Medallion Architecture, and collaborate with AI team for data quality and LLM integration.

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 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.