Senior Data Engineer — Cloud Economics & Cost Insights

AgileEngine; Buenos Aires; Presencial; ARS 1.800.000 - 3.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering cloud cost visibility, attribution, and performance insights for a Cloud Economics team.

You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.

Formación

• 4+ years of experience in Data Engineering.
• End-to-end ELT/ETL pipelines in cloud environments.
• Strong SQL and Python proficiency.
• Experience with orchestration tools (dbt, Airflow, or Dagster).
• AWS data ecosystem experience (Glue, Athena, Aurora).
• Experience with Snowflake and data modeling.
• Experience with CI/CD, IaC (Terraform), and REST API integrations.
• Strong data validation, auditing, and troubleshooting skills.
• Upper-intermediate English level.

Responsabilidades

• Design, build, and maintain cloud cost data pipelines and automation.
• Develop scalable ELT/ETL workflows across AWS services and Snowflake.
• Create data models and ingestion frameworks for telemetry and usage data.
• Build tooling for cost-aware decision-making for Product, Engineering, and Finance.
• Optimize pipelines for performance, reliability, and cost.
• Collaborate with Engineering and Finance to support cost optimization insights.
• Ensure data quality and auditability across end-to-end workflows.

Conocimientos

SQL

Python

Data modeling

Data quality

Herramientas

dbt

Airflow

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

Terraform

CI/CD

REST API integrations

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering cloud cost visibility, attribution, and performance insights for a Cloud Economics team.

You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.