Top Data Engineer Jobs in Rio de Janeiro

Join Bluelight Consulting as a Data Engineer to develop and maintain data models, monitor pipelines, and collaborate on data integration, ensuring data quality and accessibility for business intelligence tools.

The Data Engineer will develop and maintain data models, monitor pipelines, collaborate with teams on data integration, and ensure data quality and accessibility.

The Data Engineer will migrate ETL jobs from Talend to Snowflake, validating and documenting the process, while building data quality frameworks and diagnostic tools.

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 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 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 implement ETL/ELT solutions, design data pipelines, ensure data security, and optimize data processing systems. Responsibilities include data transformation and compliance collaboration.

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.

As a Data Engineer, you will design and maintain data products that support game performance tracking, create integrations with APIs, and enhance data platform reliability and performance.

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.

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

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

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.

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

The Principal Engineer for Data Infrastructure will manage database systems and data warehousing, optimizing performance and integrating new technologies in a fast-paced fintech environment.

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

The Senior Python Engineer will lead a data infrastructure project, focusing on data aggregation, modelling, processing, and creating reliable data pipelines for a finance platform.