Senior Data Engineer — Remote, Build Cost-Driven Pipelines

Agileengine, Llc.; Rosario; Híbrido; ARS 184.482.000 - 230.602.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

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

You will develop tooling that provides cost transparency, surfaces optimization opportunities, and supports committed use discount modeling and management. Join a data-driven team delivering impact across Fortune 500 brands.

Formación

• 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 end-to-end ELT/ETL data pipelines, including data modeling.
• Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail, analytical skill, and comprehensive data auditing and end-to-end validation skills.
• Ability to explain technical concepts to non-technical audiences.

Responsabilidades

• Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling, enabling 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.

Conocimientos

SQL

Python

Spark

Scala

Herramientas

dbt

Airflow

Dagster

AWS

GCP

Snowflake

Terraform

Descripción del empleo

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

You will develop tooling that provides cost transparency, surfaces optimization opportunities, and supports committed use discount modeling and management. Join a data-driven team delivering impact across Fortune 500 brands.