Top Data Engineer Jobs in Brasilia

As an ETL Data Engineer, you will develop and maintain data integration processes using Python and Azure Synapse Analytics, ensuring data accuracy and availability for analytics. You'll collaborate with data teams to optimize data management, implement quality checks, and document processes within a supportive consulting environment.

As an ETL Data Engineer, you will design, develop, and maintain ETL processes using Python and Azure Synapse Analytics, ensuring data accuracy and availability while collaborating with data scientists and analysts.

Design and build scalable Snowflake-based data models and pipelines using SQL and Python. Integrate data via APIs, optimize performance, and collaborate cross-functionally to support reporting and analytics while improving data engineering standards.

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.

As a Data Engineer, you'll maintain and enhance a data ingestion pipeline, collaborate with data scientists and engineers, and implement features for efficiency and scalability.

Join a remote team to upgrade a Marketplace Analytics Data Platform. Responsibilities include developing data pipelines, managing data models, and ensuring data reliability for analytics purposes.

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

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.

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

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

As an ETL Data Engineer, you will develop and maintain ETL processes, optimize data storage, ensure data quality, and collaborate with stakeholders.

As an ETL Data Engineer, you will develop and maintain ETL processes using Python and Azure Synapse Analytics and collaborate with data scientists and analysts.

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.

The role involves understanding customer processes, validating technical designs of applications, estimating project efforts, supporting implementation activities, and mentoring colleagues in application architecture.

Build and maintain BigQuery data pipelines, map warehouse schemas, and craft SQL to feed LLMs. Develop Claude Skills and Gemini Gems, collaborate on prompts, validate AI outputs, and design AI agents to automate eCommerce analytics and operational workflows.

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 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.

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.

Design, build, and maintain cloud-native data pipelines ingesting industrial and historian data into GCP. Process large Parquet datasets, optimize BigQuery/Bigtable storage, support ML teams with production-ready datasets, integrate OT systems, troubleshoot data quality/performance, and operationalize analytics back into control environments.

Design, build, and maintain scalable data and ML pipelines, manage vector stores and RAG workflows, integrate LLM frameworks for training and inference, enable semantic search and AI-driven BI, and document data processes while partnering with stakeholders.

The Data Engineer role involves developing and maintaining data pipelines, ensuring data quality, and collaborating with teams to deliver solutions tailored for financial services.

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.

Build and maintain scalable, high-performance data pipelines and platforms using Spark/Scala/Python. Own end-to-end projects, collaborate with product and global teams, mentor junior engineers, implement testing and performance tuning, and contribute to the technical roadmap.

Own and deliver end-to-end data engineering projects: design, build, test, deploy, and maintain scalable big-data pipelines and APIs. Collaborate with product and global teams, mentor junior engineers, monitor performance, and drive technical roadmap and stability improvements.