Senior Data Engineer: Cloud Cost & Data Platforms (Remote)

AgileEngine; Ciudad de Mendoza; Presencial; ARS 1.800.000 - 3.000.000; 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 and performance insights. You will build scalable ELT/ETL workflows in Python/SQL across AWS services (Glue, Athena, Aurora) and Snowflake, focusing on reliability and cost efficiency, collaborating with Engineering and Finance to drive optimizations.

You will also develop data models, ingestion frameworks, and tooling to enable cost-aware decisions, ensuring data quality and

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: dbt, Airflow, or Dagster.
• AWS data ecosystem: Glue, Athena, Aurora; Snowflake.
• CI/CD, version control, IaC (Terraform), REST API integrations.
• Data modeling and large-scale data processing.
• Upper-intermediate English.

Responsabilidades

• Design, build, and maintain data pipelines for Cloud Economics.
• Support cost visibility, attribution, and performance insights.
• Develop data models and ingestion frameworks for telemetry data.
• Create tooling for cost-aware decision-making across stakeholders.
• Optimize pipelines for performance, reliability, and cost.
• Collaborate with Engineering and Finance on cost optimization.
• Ensure data quality, validation, and auditing across workflows.

Conocimientos

SQL

Python

ELT/ETL pipelines

data modeling

data validation

CI/CD

REST API integrations

English (upper-intermediate)

Herramientas

dbt

Airflow

Dagster

Snowflake

AWS Glue

Amazon Athena

Amazon Aurora

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility and performance insights. You will build scalable ELT/ETL workflows in Python/SQL across AWS services (Glue, Athena, Aurora) and Snowflake, focusing on reliability and cost efficiency, collaborating with Engineering and Finance to drive optimizations.

You will also develop data models, ingestion frameworks, and tooling to enable cost-aware decisions, ensuring data quality and