Data Engineer - Cost Attribution & Finance Modeling

AgileEngine, LLC.; Cartagena de Indias; Híbrido; COP 264.655.000 - 363.901.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based 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 across our client projects. You will develop end-to-end ELT/ETL pipelines, enable cost transparency, surface optimization opportunities, and collaborate with product, engineering, analyst, and finance teams to drive data-driven decisions.

Experience with SQL, Python, Spark, AWS, GCP, Snowflake, and orchestration tools will help you thrive in our people-first

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

Conocimientos

SQL

Python

Spark

Scala

Herramientas

dbt

Airflow

Dagster

Terraform

REST API

Descripción del empleo

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling across our client projects. You will develop end-to-end ELT/ETL pipelines, enable cost transparency, surface optimization opportunities, and collaborate with product, engineering, analyst, and finance teams to drive data-driven decisions.

Experience with SQL, Python, Spark, AWS, GCP, Snowflake, and orchestration tools will help you thrive in our people-first