Cloud Data Engineer: ELT Pipelines for Cost Insights

Agileengine; Ciudad de Mendoza; Híbrido; ARS 182.249.000 - 273.373.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive pay

Flexible hours

Modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

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

The role partners with Engineering and Finance to enable cost optimization and usage-based decision-making, delivering robust data models and validated data workflows at scale.

Formación

• 4+ years of Data Engineering experience.
• End-to-end ELT/ETL pipelines in cloud environments.
• Strong SQL and Python skills.
• Experience with dbt, Airflow, or Dagster.
• AWS data services including Glue, Athena, Aurora.
• Snowflake experience.
• CI/CD, version control, Terraform, and REST API integrations.
• Ability to optimize pipelines for performance and cost.
• Data validation, auditing, and troubleshooting production pipelines.

Responsabilidades

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

Conocimientos

SQL

Python

ELT/ETL pipelines

dbt

Airflow

Dagster

AWS data services

Snowflake

CI/CD

Terraform

REST API integration

Data modeling

Herramientas

Snowflake

dbt

Airflow

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Terraform

REST API

Descripción del empleo

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

The role partners with Engineering and Finance to enable cost optimization and usage-based decision-making, delivering robust data models and validated data workflows at scale.