Data Engineer, FinOps & Cost Modeling (Remote/Flextime)

AgileEngine, LLC.; Colombia; Hybrid; COP 189,855,000 - 284,783,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will develop telemetry-driven cost attribution mechanisms and support data-driven decision making across product, engineering, finance, and analytics teams, enabling cost transparency and opportunities for optimization.

This role requires 4+ years in data engineering, hands-on SQL, Python, Spark, Scala, and experience with AWS, GCP, Snowflake, and workflow

Qualifications

• 4+ years of experience in Data Engineering roles.
• Hands-on experience with SQL, Python, Spark and Scala.
• Experience with workflow tools: dbt, Airflow, Dagster.
• Experience with AWS Glue, Aurora, Athena, Snowflake.
• Experience in ELT/ETL data pipelines and data modeling.
• Exposure to CI/CD development, IaC (Terraform), REST APIs.
• Strong attention to detail and data auditing.
• Ability to explain technical concepts to non-technical audiences.
• Upper-intermediate English level.

Responsibilities

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

Skills

SQL

Python

Spark

Scala

English (Upper-intermediate)

Tools

dbt

Airflow

Dagster

AWS Glue

Aurora

Athena

Snowflake

GCP

Job description

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will develop telemetry-driven cost attribution mechanisms and support data-driven decision making across product, engineering, finance, and analytics teams, enabling cost transparency and opportunities for optimization.

This role requires 4+ years in data engineering, hands-on SQL, Python, Spark, Scala, and experience with AWS, GCP, Snowflake, and workflow