Senior Data Engineer — Cost Attribution & Pipelines (Remote)

AgileEngine, LLC.; Mar del Plata; Híbrido; ARS 137.091.000 - 228.484.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will enable product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.

You will develop and maintain data pipelines that surface optimization opportunities and support committed use discount modeling and management, ensuring data quality and end-to-end validation.

Formación

• 4+ years of experience in Data Engineering roles.
• Strong SQL, Python, Spark and Scala proficiency.
• Hands-on with dbt, Airflow, and Dagster, and cloud data platforms (AWS/GCP/Snowflake).
• Experience architecting end-to-end ELT/ETL pipelines and data modeling.
• Familiarity with CI/CD, Terraform, REST APIs, and data auditing.

Responsabilidades

• Develop tooling and datasets that drive telemetry-driven cost attribution and financial modeling.
• Build and maintain data pipelines and tooling that provide cost transparency and support optimization and discounted usage modeling.

Conocimientos

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

ELT/ETL

Terraform

REST API

Data Modeling

CI/CD

Data Auditing

Herramientas

dbt

Airflow

Dagster

Terraform

Snowflake

AWS Glue

Aurora

Athena

Descripción del empleo

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will enable product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.

You will develop and maintain data pipelines that surface optimization opportunities and support committed use discount modeling and management, ensuring data quality and end-to-end validation.