Top Data Engineer Jobs in Brazil

The Data Engineer at Apex Fintech Solutions will design, build, and optimize data pipelines and products, collaborate with stakeholders on data requirements, enhance data quality, and support operations across environments. This role is key in delivering data-driven insights to improve financial services.

As a Data Engineer, you will develop and manage data ETL pipelines, ensure data quality, and implement data warehousing solutions. Collaborate with various stakeholders to deliver high-quality datasets while adhering to privacy and governance standards.

Support and improve the Air Force Capability Assessment & Tradeoff Tool (AFCATT) by managing data pipelines, validating data, enhancing data architecture, and integrating data across various applications to inform strategy. Collaborate with product owners and software architects to define technical requirements and improve data management practices for enterprise portfolio management.

The Data Engineer II will support the technical teams by ensuring secure access to data, build and support data platforms and pipelines, collaborate to produce quality datasets and reports, and work alongside Data Science and Product Managers to create reliable production systems.

Blueprint Test Preparation seeks a data engineer to design and maintain their data warehouse and analytics initiatives. Responsibilities include building innovative solutions, developing BI models, and optimizing data delivery. You will resolve complex problems and ensure data accuracy while focusing on scalable infrastructure and data-driven insights.

Capital One is looking for Data Engineers who will design, develop, test, implement, and support technical solutions in full-stack development. The role involves collaborating with Agile teams, utilizing programming languages and cloud-based services to deliver data solutions, and sharing tech trends with peers.

Data Engineers will design, implement, and operate data management systems for intelligence needs, focusing on data storage, access, integration, and management. Responsibilities include modeling, processing requirements, report status of data activities, reconstructing data formats, applying semantic modeling techniques, and transforming data models into physical database designs.

The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.

As a Data Engineer, you'll build and maintain cloud infrastructure for streaming data pipelines and messaging solutions, focusing on Kafka integration and performance optimization. Responsibilities include designing data pipelines, automating operations with tools like Terraform, and ensuring security and compliance of data systems.

The Data Engineer will analyze data using various technologies, maintain end-to-end data pipelines, automate processes for real-time data access, and review data science inputs for extensive datasets. They will utilize advanced computational techniques and create strategies for data analysis, model scaling, and data processing environments.

The Telemetry Data Engineer will develop telemetry processing software for launch operations, enhance cloud-native applications, and support performance assessments while delivering high-quality products and documentation.

As a Data Engineer, you will develop and implement data services for applications, ensuring they meet business objectives and user requirements. You'll work closely with various stakeholders to define requirements, build data service infrastructure, and perform data migration and transformation tasks. You will be involved in maintaining the accuracy and security of data solutions.

The Data Engineer will develop and manage data models, pipelines, and transformations using Snowflake and SQL. Responsibilities include optimizing Snowflake schema and compute resources, collaborating with multiple teams, and maintaining data security compliance. A proactive approach to learning new technologies is expected.

The Data Engineer at Crexi will design and optimize big data pipelines and architectures using SQL and AWS services. The role involves root cause analysis, data transformation management, and creating robust testing and monitoring frameworks for data processes. Candidates should have extensive experience with databases and modern data engineering best practices.

As a Data Engineer II, you will design, develop, and maintain data pipelines, tackle complex data issues, create data products for analytics, mentor colleagues, and collaborate with business partners to address data needs. You will leverage various tools and methodologies for building robust data applications and improving team efficiency.

The Data Engineer II will design, develop, and maintain data pipelines for analytics at Chewy. Responsibilities include addressing complex data issues, crafting data products, and collaborating with various teams to integrate new data sources into systems. The role focuses on building scalable applications and supporting data-driven decision-making across departments.

A Data Engineer will design and maintain data infrastructure for analytics and machine learning, focusing on data quality and efficient data models. Responsibilities include developing ETL pipelines, cloud cost optimization, data architecture, coding, and cross-functional collaboration.