Top Data Engineer Jobs in Brasilia

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.

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.

As a Staff AI Data Engineer, you'll lead AI-powered improvements in workflows, design data foundations, and ship evidence-first AI pipelines while ensuring data governance and privacy.

Design and implement a scalable data platform, develop data pipelines, ensure data quality, and enable self-service analytics for stakeholders.

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 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.

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.

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

Designs, builds, and maintains scalable batch and streaming data pipelines, APIs and integrations; prepares and cleanses data; creates data models, reporting, dashboards, and access methods; applies NLP and AI/ML techniques; follows data governance; estimates and plans work for agile sprints with limited supervision.

Lead and mentor a data engineering team to develop scalable automation solutions, manage data migration from Snowflake to Azure, and ensure best practices in data engineering standards and CI/CD workflows.

The Data Site Reliability Engineer ensures the reliability and performance of the data platform on Databricks and Azure, focusing on automation, incident management, and collaboration with data teams.

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

The Senior Data Engineer will design and implement data management solutions on AWS, develop ETL jobs, and manage data warehouses while ensuring performance and reliability. They will collaborate with teams and document processes.

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.

Lead data engineering efforts by building scalable ETL pipelines and supporting cross-functional teams with reliable data for analytics and business intelligence.

Lead data engineering efforts, building scalable ETL and data lake processes, and ensuring analytics infrastructure supports strategic growth through reliable data access.

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

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 Integration Engineer is responsible for designing, maintaining, and optimizing data integration processes across various IT systems, ensuring data quality and alignment with business needs.

As a Senior Data Engineer, you will develop and maintain data models, design data pipelines, and ensure data quality, while leveraging big data concepts to improve user experience and recommendations.

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.

Develop and maintain connector plugins for search products, debug issues, and ensure functionality in a collaborative SaaS environment. Focus on software quality and team contributions.

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.