Senior Data Engineer: Cloud Ingestion & Cost Modeling

Netrix Global; Ciudad de Mendoza; Hybrid; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

Professional growth

Competitive USD compensation

Challenging projects

Flextime & remote/office flexibility

Job summary

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

You will develop pipelines for cost transparency, surface optimization opportunities, and support committed use discount modeling and management. The role requires hands-on experience with SQL, Python, Spark, Scala and modern data

Qualifications

• 4+ years of data engineering experience.
• Hands-on with SQL, Python, Spark and Scala.
• Hands-on with dbt, Airflow and Dagster.
• Experience with AWS (Glue, Aurora, Athena), GCP and Snowflake.
• End-to-end ELT/ETL pipelines, data modelling and schema maturity.
• CI/CD, Infrastructure as Code (Terraform) and REST APIs.

Responsibilities

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

Skills

4+ years data engineering

Analytical skills

Attention to detail

Explain technical concepts to non-tech

Tools

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS Glue

AWS Aurora

AWS Athena

GCP

Snowflake

Terraform

REST API

Job description

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

You will develop pipelines for cost transparency, surface optimization opportunities, and support committed use discount modeling and management. The role requires hands-on experience with SQL, Python, Spark, Scala and modern data