Remote Senior Data Engineer: Cloud Cost & Insights

AgileEngine; Argentina; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is hiring a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for the 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.

You will partner with Engineering and Finance stakeholders to support cost optimization initiatives

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 Glue, Athena, and Aurora.
• Experience with Snowflake.
• Strong data modeling and large-scale data processing experience.
• CI/CD, version control, 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

Data engineering

SQL

Python

ELT/ETL pipelines

dbt

Airflow

Dagster

AWS Glue

Athena

Aurora

Snowflake

CI/CD

Terraform

REST APIs

Data modeling

English

Herramientas

dbt

Airflow

Dagster

AWS Glue

Athena

Aurora

Snowflake

Terraform

Descripción del empleo

AgileEngine is hiring a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for the 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.

You will partner with Engineering and Finance stakeholders to support cost optimization initiatives