Senior Data Engineer - Cost Attribution Pipelines (Remote)

AgileEngine, LLC.; Ciudad de Mendoza; Hybrid; ARS 138.361.000 - 199.855.000; Vollzeit

Benefits dieser Stelle

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Zusammenfassung

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

You will architect end-to-end ELT/ETL pipelines, implement telemetry-driven attribution, and surface optimization opportunities using SQL, Python, Spark, and orchestration tools.

Qualifikationen

• 4+ years of experience in Data Engineering roles.
• Experience with SQL, Python, Spark, and Scala.
• Experience with workflow orchestration tools: dbt, Airflow, Dagster.
• 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 development processes, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail and data auditing and end-to-end validation.
• Ability to explain technical concepts to non-technical audiences.
• Upper-intermediate English level.

Aufgaben

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

Kenntnisse

4+ years of data engineering

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

ELT/ETL pipelines

data modeling

CI/CD

Terraform

REST API

English (Upper-intermediate)

Tools

dbt

Airflow

Dagster

Terraform

Go

Jobbeschreibung

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

You will architect end-to-end ELT/ETL pipelines, implement telemetry-driven attribution, and surface optimization opportunities using SQL, Python, Spark, and orchestration tools.