This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (AWS) based in Brazil.

This role is an opportunity to shape and scale a modern, cloud-native data platform built on AWS and designed to support high-impact analytics across the business. You will be responsible for architecting end-to-end data pipelines that integrate multiple source systems into a centralized Snowflake environment. The position requires strong technical ownership, as you will influence core architectural decisions and ensure best practices across performance, scalability, and reliability.
You will work in a fully remote, highly autonomous environment where clear communication and engineering excellence are essential.
The role combines hands-on engineering with architectural leadership, including data modeling, infrastructure as code, and pipeline optimization.
You will collaborate closely with analytics and business teams to deliver trusted, high-quality datasets that power BI and decision-making.
It is a key position for someone who thrives in complex data environments and enjoys building scalable systems from the ground up.

• Design, own, and evolve the architecture of cloud-based data pipelines and platform components on AWS.
• Build and maintain ingestion pipelines using services such as AWS DMS, AppFlow, EventBridge, and S3.
• Develop and optimize data models in Snowflake using dbt Cloud and dimensional modeling best practices (Kimball, SCD Type 2).
• Implement and maintain infrastructure as code using Terraform, ensuring scalable and reproducible environments.
• Lead performance tuning, cost optimization, monitoring, and root-cause analysis across the data platform.
• Collaborate with cross-functional teams to deliver curated datasets for BI tools such as Power BI.
• Contribute to engineering standards through code reviews, technical guidance, and architectural discussions.

Requirements

• 5+ years of experience in Data Engineering roles.
• Strong proficiency in Python (including AWS Lambda) and advanced SQL.
• Hands-on experience with AWS data services such as S3, Glue, Athena, EventBridge, AppFlow, and DMS.
• Solid experience with Snowflake, dbt Cloud, Terraform, and Docker.
• Strong understanding of dimensional data modeling (star schema, facts, dimensions) and SCD Type 2 implementations.
• Experience working with infrastructure as code and cloud-native architectures.
• Advanced English proficiency (written and spoken) for international collaboration.
• Strong ownership mindset, autonomy, and ability to proactively identify and mitigate risks.
• Comfort using AI-assisted development tools such as GitHub Copilot or Claude.
• Nice to have: AWS Data Engineer certification (DEA-C01), experience with CDC pipelines, Airflow/Dagster/Prefect, and data observability tools (e.g., Great Expectations, Monte Carlo).

Benefits

• 100% remote work model (LATAM-based role)
• Competitive compensation in USD
• Paid time off and holidays
• Health insurance assistance
• Growth and career development opportunities
• Exposure to modern data stack and advanced cloud architecture
• Collaborative, high-autonomy engineering environment
• Work with cutting-edge tools in data engineering and AI-assisted development

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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