Data Engineer: Cost Attribution & Financial Modeling (Remote)

AgileEngine, LLC.; Buenos Aires; Híbrido; ARS 182.788.000 - 274.181.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. 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 data-driven decisions and trust the data.

You will develop and maintain datasets and tooling that surface cost transparency, optimization opportunities, and support discount modeling and management, while ensuring end-to-end data quality and telemetry-driven insights.

Formación

• 4+ years of experience in Data Engineering roles.
• Hands-on with SQL, Python, Spark, and Scala.
• Hands-on with workflow orchestration tools such as dbt, Airflow, and Dagster.
• Hands-on experience with AWS (Glue, Aurora, Athena), GCP, and Snowflake.
• Experience architecting end-to-end ELT/ETL data pipelines with data modeling.
• Exposure to CI/CD processes, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail and data auditing and validation.
• Ability to explain technical concepts to non-technical audiences.

Responsabilidades

• Develop and implement tooling and datasets that drive telemetry-driven cost attribution and financial modeling.
• Build and maintain data pipelines and tooling that provide cost transparency and surface optimization opportunities.

Conocimientos

Data Engineering

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

Terraform

REST API

Data modeling

Herramientas

dbt

Airflow

Dagster

AWS

GCP

Snowflake

Terraform

REST API

Descripción del empleo

AgileEngine, LLC. 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 data-driven decisions and trust the data.

You will develop and maintain datasets and tooling that surface cost transparency, optimization opportunities, and support discount modeling and management, while ensuring end-to-end data quality and telemetry-driven insights.