Data Engineer — Cost Attribution & ELT Pipelines (Flexible)

Redteam - Construction Technology; Ciudad de Mendoza; Híbrido; ARS 184.482.000 - 276.723.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

A selection of 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.

Develop and maintain data pipelines to surface cost transparency and optimization opportunities, with a focus on end-to-end ELT/ETL processes and dashboard-ready data for stakeholders.

Formación

• 4+ years of experience in Data Engineering roles
• Upper-intermediate English level
• Ability to explain technical concepts to non-technical audiences
• Strong attention to detail and analytical skills
• Experience with end-to-end ELT/ETL data pipelines and data modeling

Responsabilidades

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

Conocimientos

4+ years of experience

Upper-intermediate English

Explain technical concepts to non-tech

Attention to detail

Analytical skills

End-to-end ELT/ETL pipelines

Herramientas

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

Terraform

REST API

Datadog

Go

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.

Develop and maintain data pipelines to surface cost transparency and optimization opportunities, with a focus on end-to-end ELT/ETL processes and dashboard-ready data for stakeholders.