Senior Data Engineer - Cloud Cost & Data Pipelines

AgileEngine; Buenos Aires; Presencial; ARS 181.190.000 - 271.784.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive pay

Remote work

Meaningful projects

Collaborative culture

Well-being support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering Cloud Economics insights across AWS services and Snowflake. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow, enabling cost visibility, attribution, and performance insights for a Cloud Economics team.

You will collaborate with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making, while focusing on data quality and

Formación

• 4+ years of experience in Data Engineering roles.
• End-to-end ELT/ETL pipelines in cloud environments.
• Strong SQL and Python.
• Experience with orchestration tools such as dbt, Airflow, or Dagster.
• AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora.
• Experience with Snowflake.
• Strong data modeling and large-scale data processing experience.
• Experience with CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations.
• Demonstrated ability to optimize data pipelines for performance and cost.
• Upper-intermediate English level.

Responsabilidades

• Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
• Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
• Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
• Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders.
• Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).
• Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights.
• Ensure data quality, validation, and auditability across end-to-end data workflows.

Conocimientos

End-to-end ELT/ETL pipelines

SQL

Python

dbt

Airflow

Dagster

AWS

Snowflake

CI/CD

Terraform

REST APIs

Herramientas

dbt

Airflow

Dagster

Terraform

AWS

Snowflake

Athena

Glue

Aurora

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering Cloud Economics insights across AWS services and Snowflake. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow, enabling cost visibility, attribution, and performance insights for a Cloud Economics team.

You will collaborate with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making, while focusing on data quality and