Senior Data Engineer, Cloud Cost & Data Pipelines

Agileengine; Partido de Quilmes; Híbrido; ARS 136.687.000 - 197.436.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote

Meaningful, modern projects

Collaborative culture

Well‑being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering cloud cost visibility 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.

The role partners closely with Engineering and Finance stakeholders to support cost

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.
• Strong analytical skills with data validation, auditing, and troubleshooting production pipelines.

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

ELT/ETL pipelines

SQL

Python

dbt

Airflow

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

Data modeling

CI/CD

Terraform

REST API integrations

Data validation

Auditing

Herramientas

SQL

Python

dbt

Airflow

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

Terraform

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering cloud cost visibility 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.

The role partners closely with Engineering and Finance stakeholders to support cost