Remote Senior Data Engineer - Cloud Cost & Data Pipelines

AgileEngine; Rosario; Presencial; ARS 2.000.000 - 4.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Remote work with flexible hours

Learning budget and mentorship

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 and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services and Snowflake.

Collaborating with Engineering and Finance, you will optimize for cost and reliability while ensuring data quality and auditability across end-to-end workflows. Strong English is required and remote-friendly.

Formación

• 4+ years of data engineering experience.
• End-to-end ELT/ETL pipelines in cloud environments.
• Strong SQL and Python.
• Experience with orchestration tools: dbt, Airflow, or Dagster.
• AWS data ecosystem experience: Glue, Athena, Aurora.
• Experience with Snowflake.
• Strong data modeling and large-scale data processing experience.
• CI/CD, version control, Infrastructure as Code (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 powering cloud cost visibility and insights.
• Design and implement data models and ingestion frameworks for large-scale telemetry and usage data.
• Develop tooling enabling cost-aware decision-making across Product, Engineering, and Finance.
• Optimize data systems for performance, reliability, and cost (tuning, storage, compute).
• Partner with Engineering and Finance to support cost optimization initiatives.
• Ensure data quality, validation, and auditability across end-to-end workflows.

Conocimientos

SQL

Python

Data Engineering

ELT/ETL pipelines

Cloud environments

REST API integrations

CI/CD

Terraform

LL Data modeling

Upper-intermediate English

Herramientas

dbt

Airflow

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

Terraform

Datadog

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines 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 and Snowflake.

Collaborating with Engineering and Finance, you will optimize for cost and reliability while ensuring data quality and auditability across end-to-end workflows. Strong English is required and remote-friendly.