You have a background experience with modern data architectures and engineering tools, are comfortable in supporting the design and optimization of data pipelines, modeling databases, and are constantly seeking ways to enhance data reliability, scalability, and the value delivered to stakeholders
This is a fully remote role based in Brazil, and you’ll collaborate closely with teams across the U.S. and Brazil
Your work will follow Brasilia Standard Time, and you’ll be hired as a CLT contract employee with compensation in BRL
Proven experience as a senior data engineer, with hands-on ownership of large-scale data pipelines and complex data architectures
Strong technical judgment and problem-solving skills, attention to detail, and a drive to make processes more efficient
Strong understanding of modern data engineering best practices including data lakes, lakehouse architectures, and ETL/ELT approaches
Experience designing and operating cloud-native data platforms on AWS (e.g., orchestration, storage, compute, IAM), with the ability to adapt across services
Strong experience with orchestration and workflow tools (e.g., Airflow)
Working knowledge of infrastructure-as-code principles and tools (e.g., Terraform) to enable repeatable, auditable environments
Experience building and operating batch and streaming data systems, and making informed trade-offs between them (e.g., Kafka, Kinesis, Spark Streaming)
Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders in a distributed, international environment
Data platform tooling: DBT, metadata/catalog tools
Eventing & integration: DMS, AppFlow, SQS/SNS
Architectural patterns: Data Mesh, domain-driven data
Engineering rigor: Experience delivering production-grade software systems