Remote Data Engineer - Build Cost Attribution & Models

Agileengine; Partido de Quilmes; Hybrid; ARS 182,485,000 - 273,727,000; Full time

Benefits offered by this job

Flexible schedule

USD-based compensation

Professional growth

Team activities

Job summary

Agileengine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will collaborate with product, engineering, analyst, and finance teams to enable data-driven decisions.

You will implement datasets and tooling for telemetry-driven cost attribution, surface optimization opportunities, and support discount modeling. Strong SQL, Python, Spark, and workflow orchestration experience are essential.

Qualifications

• 4+ years of experience in Data Engineering roles.
• Hands-on experience with SQL, Python, Spark, and Scala.
• Hands-on experience 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, data modeling and schema maturity.
• Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail, analytical skills, and data auditing/validation.
• Ability to explain technical concepts to non-technical audiences.
• Upper-intermediate English level.

Responsibilities

• 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.

Skills

Experience in data engineering

SQL

Python

Spark

Scala

Data modeling

ELT/ETL pipelines

CI/CD

REST API programming

English (upper-intermediate)

Tools

dbt

Airflow

Dagster

AWS (Glue, Aurora, Athena)

GCP

Snowflake

Terraform

Job description

Agileengine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will collaborate with product, engineering, analyst, and finance teams to enable data-driven decisions.

You will implement datasets and tooling for telemetry-driven cost attribution, surface optimization opportunities, and support discount modeling. Strong SQL, Python, Spark, and workflow orchestration experience are essential.