Senior Data Engineer: Cloud Economics Pipelines (Remote)

AgileEngine; Mar del Plata; Presencial; ARS 163.756.000 - 253.078.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine in a remote, distributed environment is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for our Cloud Economics team.

You will build scalable ELT/ETL workflows with Python, SQL, dbt and Airflow across AWS (Glue, Athena, Aurora) and Snowflake, partnering with Engineering and Finance to optimize cost efficiency and usage-based decisions.

Formación

• 4+ years of experience in Data Engineering roles.
• End-to-end ELT/ETL pipelines in cloud environments.
• Strong SQL and Python proficiency.
• 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.

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

SQL

Python

Data modeling

Data validation

Analytical thinking

English proficiency

Herramientas

dbt

Airflow

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

Terraform

REST APIs

Descripción del empleo

AgileEngine in a remote, distributed environment is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for our Cloud Economics team.

You will build scalable ELT/ETL workflows with Python, SQL, dbt and Airflow across AWS (Glue, Athena, Aurora) and Snowflake, partnering with Engineering and Finance to optimize cost efficiency and usage-based decisions.