Senior ML Data Engineer: Cost Analytics & Pipelines

Caramel Point; Rosario; Remote; ARS 1,800,000 - 3,600,000; Full time

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 and ensure data trust.

Responsibilities include developing telemetry-driven cost attribution tooling and maintaining end-to-end ELT/ETL pipelines using SQL, Python, Spark, and AWS/GCP/Snowflake, with orchestration via dbt, Airflow, and Dagster.

Qualifications

• 4+ years of experience in Data Engineering roles.
• Proficiency with SQL, Python, Spark, and Scala.
• Experience with dbt, Airflow, and Dagster.
• Experience with AWS Glue, Aurora, Athena, GCP, and Snowflake.
• Experience architecting and enhancing the long-term maintainability of end-to-end ELT/ETL data pipelines, including data modeling and schema maturity.
• Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.

Responsibilities

• Develop tooling and datasets for telemetry-driven cost attribution and performance-informed financial modeling to empower stakeholders to make faster, data-driven decisions.
• Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support discount modeling.

Skills

SQL

Python

Spark

Scala

Tools

dbt

Airflow

Dagster

AWS

GCP

Snowflake

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 and ensure data trust.

Responsibilities include developing telemetry-driven cost attribution tooling and maintaining end-to-end ELT/ETL pipelines using SQL, Python, Spark, and AWS/GCP/Snowflake, with orchestration via dbt, Airflow, and Dagster.