Top Data Engineer Jobs in Brazil

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.

Develop AI-powered data mapping recommendation platform, automate data extraction and validation, build scalable data pipelines, and manage data governance.

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

This role involves defining data architecture, designing data pipelines, automating processes, creating data models, and collaborating with teams to meet both technical and business needs.

Design, build, and maintain scalable data models and pipelines to ingest, transform, and ensure quality of multi-format partner data for analytics, recommendations, and product teams.

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.

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

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

Design, build, and maintain scalable data pipelines and ETL workflows using SparkSQL and Python. Manage data storage on HDFS, run distributed queries with Trino/Presto, ensure data quality, support BI/reporting, troubleshoot production incidents, and collaborate with analysts, SRE, and stakeholders.

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.

Architect and implement scalable Spark (batch) and Flink (stream) data solutions for an IoT platform: build IoT Query Language grammar, validator, and Spark adapter; implement graph/ontology traversal logic; ensure parity between batch and stream; optimize Azure/Databricks resources; prepare and transform data using SQL/Python/Java; enforce data governance, quality, security, CI/CD and documentation within Agile processes.

Lead design and implement Flink 2.x streaming pipelines for IoT sensor data on Azure, build custom ProcessFunctions and data-quality gates, optimize state backends and clusters, integrate shared libraries, enforce data governance, and participate in Agile delivery.

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.

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.

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.

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.

Senior Data Engineers build and maintain data architecture and infrastructure. They develop data processing pipelines, collaborate with data scientists, and ensure data quality and governance.

The Big Data Engineer will develop and maintain ETL pipelines, optimize data flows, and collaborate on system architecture and performance, primarily using Python and AWS.

As a Staff Technical Solutions Engineer, you will resolve customer issues related to Apache Spark, provide guidance on best practices, and assist customers in optimizing their use of Databricks products.

As a Software Engineer 2, you'll design and build scalable data ingestion pipelines, contribute to batch and streaming flows, and support observability for WEX's data platform.

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 Senior Data Engineer will design, build, and maintain data pipelines on AWS, implement data lakes and warehouses, and foster collaboration with stakeholders for scalable data solutions.