Senior Data Engineer: Cloud Economics ELT (Remote)

AgileEngine; Pereira; Presencial; COP 374.895.000 - 593.583.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.

The role partners closely with Engineering and Finance stakeholders to support cost optimization

Formación

• 4+ years in data engineering roles with ELT/ETL experience.
• Strong SQL and Python programming abilities.
• Experience building data pipelines in cloud environments.
• Experience with dbt, Airflow or Dagster for orchestration.
• Familiarity with AWS data services and Snowflake.
• Data modeling skills and ability to ensure data quality.

Responsabilidades

• Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
• Develop scalable ELT/ETL workflows for cloud cost visibility and attribution.
• Create data models and ingestion frameworks for telemetry and usage data.
• Build tooling to enable cost-aware decision-making for product, engineering, and finance.
• Optimize pipelines for performance, reliability, and cost efficiency.
• Partner with Engineering and Finance to support cost optimization initiatives.

Conocimientos

SQL

Python

Data Modeling

Data Integration

English

Herramientas

dbt

Airflow

Dagster

AWS

Snowflake

Glue

Athena

Aurora

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.

The role partners closely with Engineering and Finance stakeholders to support cost optimization