Top Data Engineer Jobs in Brazil

The role involves automating the Data & Analytics platform using Terraform, implementing governance and compliance for analytics resources, and ensuring platform reliability and cost efficiency while collaborating with cross-functional teams.

The Software Engineer will design and implement search architecture to enhance data discoverability, handle significant feature ownership, perform code reviews, and mentor junior members in a Kubernetes environment.

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.

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 Middle Data Engineer, you will design data architectures, build ETL/ELT pipelines, optimize analytical models, and ensure data quality. Engage with stakeholders to meet their data needs and support BI tools.

As a Security Context Engineer, you'll enhance Radiant's AI agent for alert triage accuracy, collaborating with experts and applying cybersecurity knowledge.

The Senior AWS Data Engineer will design and develop backend data applications, enhance data frameworks, implement data processing, and collaborate with teams to solve technical challenges.

The Data Engineer will design, build and optimize data pipelines, manage database operations, and ensure data quality and consistency across platforms.

As a Data Engineer at Caylent, you will collaborate with architects and engineers to design data pipelines, deliver AWS solutions, and troubleshoot issues, all while ensuring exceptional client experiences.

The Data Engineer will execute data migration to Snowflake, adapt existing pipelines, develop workflows in Apache Airflow, and ensure data reliability.

The Azure Data Engineer will design and build scalable data pipelines using Azure technologies, work closely with teams for data solutions, and optimize data workflows.

The Data Engineer II will design, develop, and maintain scalable, reliable data pipelines, collaborating with software engineering, analytics, and product teams.

The Tech Lead Machine Learning/Data Engineer will develop and integrate machine learning models, evaluate their performance, and adapt them for high-demand environments while collaborating with distributed teams.

The Data Engineer will design, build, and maintain scalable data pipelines using Apache Airflow, ensuring reliable data delivery and optimizing ETL processes.

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 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.

Senior Data Engineer responsible for enterprise data modeling, building and maintaining AWS-based event-driven pipelines, optimizing large-scale Snowflake and Aurora Postgres systems, developing Python data pipelines, and collaborating on infrastructure and CI/CD to ensure scalable, production-grade data platforms aligned to ET time zone.

Maintain and optimize AWS-based data pipelines and processing logic using Python. Support pipeline reliability, monitoring, CI/CD with GitHub Actions, IaC improvements, troubleshoot failures, and enable BI data consumption.

Lead development and optimization of AWS-based, enterprise-scale data platforms: design logical and physical data models, build and maintain event-driven pipelines, support API data flows, implement CI/CD for data workflows, collaborate on infrastructure, and improve performance and scalability.

Maintain and optimize AWS-based data pipelines and processing systems using Python, AWS Glue, and Lambda. Improve CI/CD, monitor pipeline reliability, troubleshoot failures, and support data consumption for BI tools. Collaborate on IaC and platform performance improvements during a 6-month ET-aligned engagement.

The Data Engineer will analyze business data and create technical solutions, using SQL and other core tools to deliver data products.

Design, implement, and maintain scalable data pipelines while collaborating with cross-functional teams to enhance data quality and support decision-making.

As a Data Acquisition Engineer, you will design and maintain high-quality data acquisition systems, ensuring accurate sensor data for advanced analysis and AI model development, collaborating with various teams to optimize workflows.

The Senior Data Platform Engineer designs and operates data pipelines on AWS, focusing on Python solutions, ETL/ELT processes, and event-driven architectures in finance.

The Data Engineer will analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.