Senior Ml Data Engineer — Remote

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 an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling.

WHAT YOU WILL DO

• Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling, enabling product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.
• Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support committed use discount modeling and management.

MUST HAVES

• 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 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.