Senior Data Engineer, Cloud Cost & Usage Platform

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, Cloud Cost & Usage Platform based in Brazil.

This role offers the opportunity to build scalable data infrastructure supporting cloud cost visibility and FinOps <initiatives.You> will engineer high-volume pipelines and datasets that transform infrastructure telemetry and usage data into actionable insights.Your work will help Product, Engineering, and Finance teams understand, attribute, and optimize cloud <spending.You> will own critical data workflows from ingestion and modeling through validation, monitoring, and production reliability.The environment is highly collaborative, distributed, and technically focused, with close interaction across engineering and finance <functions.You> will work extensively with modern cloud data technologies including Snowflake, AWS, Python, SQL, dbt, Airflow, Dagster, and Terraform.This is a high-impact opportunity for a senior engineer who enjoys solving complex data challenges while improving cloud efficiency at scale.

Accountabilities

• Design, build, maintain, and optimize scalable data pipelines, automation systems, and datasets supporting cloud cost visibility, attribution, and usage insights.
• Develop robust data models and ingestion frameworks capable of processing large volumes of telemetry, infrastructure, and usage data.
• Build specialized tooling that enables Product, Engineering, and Finance stakeholders to make informed, cost-aware decisions.
• Optimize data platforms for performance, reliability, scalability, and cost efficiency through query tuning, storage optimization, and compute improvements.
• Partner closely with Engineering and Finance teams to support cloud cost optimization initiatives and develop meaningful usage-based insights.
• Establish and maintain strong data quality, validation, auditing, monitoring, and troubleshooting practices across production workflows.
• Implement and maintain ELT/ETL processes and orchestration workflows using appropriate modern data engineering tools.
• Contribute to CI/CD, Infrastructure as Code, version control, and REST API integrations supporting reliable data platform operations.
• Collaborate effectively with distributed teams across LATAM and the United States, maintaining several hours of overlap with Central Time (CT).

Requirements

• Strong professional experience in Data Engineering, with a proven track record of building and maintaining end-to-end ELT/ETL pipelines in cloud environments.
• Advanced SQL and Python skills, with hands-on experience working with Snowflake.
• Direct experience with modern data orchestration tools such as dbt, Airflow, or Dagster.
• Strong knowledge of the AWS data ecosystem, particularly AWS Glue, Amazon Athena, and Amazon Aurora.
• Solid experience with CI/CD, Git or other version-control systems, Terraform/IaC, and REST API integrations.
• Extensive knowledge of data modeling and large-scale data processing architectures.
• Fluent English, with the ability to conduct interviews, documentation, meetings, and daily technical communication in English.
• Strong analytical and problem-solving skills, with an ability to balance scalability, reliability, performance, and cost.
• Effective communication and collaboration skills for working with technical and business stakeholders in a distributed environment.
• Experience with cloud cost optimization, FinOps practices, tagging strategies, or cost monitoring is highly desirable.
• Familiarity with GCP, Datadog, or multi-cloud environments is a plus.
• Experience with Scala and/or a FinOps Foundation Practitioner or Engineer certification is also considered an advantage.

Benefits

• Full-time remote position for professionals based in LATAM, including Brazil.
• Remote-first work environment with distributed international teams.
• Opportunity to work on a high-impact cloud economics and FinOps initiative.
• Direct exposure to large-scale cloud telemetry, usage analytics, and cost optimization challenges.
• Collaboration with Product, Engineering, and Finance stakeholders.
• Work with modern data engineering and cloud technologies across AWS and Snowflake.
• Long-term opportunity within an international technical environment.
• Flexible collaboration model aligned with Central Time (CT ±2), with several hours of overlap with US-based teams.
• Daily communication, documentation, and collaboration in English.