Senior Data Engineer: Marketing AI Pipelines Cost-Modeling

Latamcent; Rosario; Remote; ARS 138,361,000 - 230,602,000; 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, analysts, and finance teams to enable data-driven decisions and trust the data.

You will develop tooling and datasets for telemetry-driven cost attribution, surface optimization opportunities, and support committed use discount modeling.

Qualifications

• 4+ years of experience in Data Engineering.
• Proficient in SQL, Python, Spark and Scala.
• Experience with dbt, Airflow and Dagster.
• Hands-on with AWS (Glue, Aurora, Athena), GCP and Snowflake.
• Experience building maintainable ELT/ETL pipelines and data modeling.
• Familiar with CI/CD, Terraform, and REST API programming.
• Strong data auditing and validation skills; ability to explain concepts to non-technical audiences.

Responsibilities

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

Skills

Data Engineering

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

ELT/ETL

Data modeling

CI/CD

Terraform

Data auditing

Communication

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, analysts, and finance teams to enable data-driven decisions and trust the data.

You will develop tooling and datasets for telemetry-driven cost attribution, surface optimization opportunities, and support committed use discount modeling.