Top Data Engineer Jobs in Brazil

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

As a Data Engineer Intern, you will define metrics, model and transform data, ensure data quality, and support data strategy. You'll collaborate with product teams and work on various data engineering tasks to improve product experience and efficiency.

The Data Engineer will automate compliance and finance regulatory processes, create scalable solutions, and guide technical development within the team.

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

As a Data Engineer Intern, you'll design data pipelines, support scalable infrastructure, collaborate with teams, and contribute to analytics models while learning data engineering best practices.

The Data Engineer II will design and build scalable data platforms, manage data pipelines, and ensure data quality while mentoring the team.

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

The Senior Supply Chain Master Data Engineer is responsible for maintaining the accuracy of supply chain data, implementing data governance, data audits, and collaborating with teams to improve data quality for analytics and reporting.

The Data Integration Engineer will build and support data integrations, ensure timely and validated data delivery, and troubleshoot issues in a fast-paced environment.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

The Data Engineer III will design and implement AI-driven solutions, develop ontologies, lead projects, and mentor team members.

This co-op position involves developing data products, design and testing of data pipelines, and delivering insights from complex datasets for business decisions.

This co-op position involves developing data products and solving complex data problems using cloud technologies, SQL, and programming languages while gaining mentorship and business exposure.

The internship involves designing tools and frameworks using Python and SQL, analyzing data, and collaborating with data scientists. Interns will receive mentorship and corporate training.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

As a Data Science Platform Engineer, you will enhance predictive models, develop tools for real-time predictions, expand NLP capabilities, and ensure production system performance within a collaborative team.

As a Data Architect, you will design, develop, and optimize data warehouses, support business intelligence applications, and lead integration efforts.

The Senior Data Engineer will design, develop, and support technical solutions, leveraging big data technologies and cloud services to drive financial empowerment solutions.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

As a Senior Lead Data Engineer, you will design and develop technical solutions, lead a team, and drive cloud-based data solutions at Capital One.

The Staff Data Engineer will build and scale data pipelines, collaborating across teams to integrate AI technologies and optimize data systems for analytics.