Senior Data Engineer — Cloud Cost & Data Pipelines (Remote)

AgileEngine; Argentina; Presencial; ARS 136.275.000 - 196.841.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive pay

Remote work with flexible hours

Modern projects and tech stack

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering Cloud Economics. You will build scalable ELT/ETL workflows with Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.

The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making, while

Formación

• 4+ years of experience in Data Engineering roles.

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.
• 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 experience

SQL

Python

ELT/ETL pipelines

Cost optimization

Analytical skills

Herramientas

dbt

Airflow

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering Cloud Economics. You will build scalable ELT/ETL workflows with Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.

The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making, while