Senior Data Engineer - Cloud Economics & ETL Lead (Remote)

AgileEngine; Santiago del Estero; Presencial; ARS 135.892.000 - 181.190.000; 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 seeking 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.

Work with Engineering and Finance stakeholders to support cost optimization initiatives, ensure data quality, and deliver reliable, cost-efficient data solutions.

Formación

• 4+ years of experience in data engineering roles.
• End-to-end ELT/ETL pipelines in cloud environments.
• Strong SQL and Python skills.
• Experience with dbt, Airflow, or Dagster for orchestration.
• AWS data services including Glue, Athena, and Aurora.
• Experience with Snowflake.
• Data modeling and large-scale data processing experience.
• CI/CD, version control, Terraform, and REST API integrations.
• Ability to optimize data pipelines for performance and cost.
• Upper-intermediate English.

Responsabilidades

• Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
• Build scalable 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

ELT/ETL pipelines

SQL

Python

Data modeling

CI/CD

REST API integrations

English (Upper-intermediate)

Herramientas

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 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.

Work with Engineering and Finance stakeholders to support cost optimization initiatives, ensure data quality, and deliver reliable, cost-efficient data solutions.