Senior Data Engineer — Remote & Flexible Hours

INGEPSY; Risaralda; Presencial; COP 342.604.000 - 529.480.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

100% remote with flexible hours

Meaningful projects with global teams

Collaborative culture with mentorship

Well-being & local support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to architect and scale a modern data platform. You will design ETL/ELT pipelines, optimize Snowflake schemas, and implement robust DataOps practices with CI/CD, Docker, and testing standards.

You will orchestrate data flows using Airflow, Prefect, or Dagster, integrate REST APIs and event sources, and ensure data reliability and accessibility across production data repositories.

Formación

• 4+ years of experience as a Data Engineer.
• Core Python fundamentals with well-tested code.
• Advanced SQL and data modeling knowledge.
• Experience in Snowflake or similar data warehouses.
• Experience with Airflow, Prefect, or Dagster.
• Experience with REST APIs and event-driven data ingestion.
• Familiarity with CI/CD, Git, Docker, and IaC basics.
• Upper-intermediate English level.

Responsabilidades

• Design, build, and maintain scalable ETL/ELT pipelines.
• Model and optimize Snowflake schemas for analytics.
• Ingest data from REST APIs and event streams.
• Maintain workflow orchestration with modern tools.
• Implement data quality checks, lineage, and alerts.
• Apply CI/CD and containerization to data repos.
• Write clean, well-documented Python code.

Conocimientos

4+ years of experience

Core Python Fundamentals

Advanced SQL & Modeling

Data Warehousing

Workflow Orchestration

Integrations & Ingestion

Data Quality & Lineage

DevOps / DataOps

Upper-intermediate English

Herramientas

dbt

Git & Docker

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to architect and scale a modern data platform. You will design ETL/ELT pipelines, optimize Snowflake schemas, and implement robust DataOps practices with CI/CD, Docker, and testing standards.

You will orchestrate data flows using Airflow, Prefect, or Dagster, integrate REST APIs and event sources, and ensure data reliability and accessibility across production data repositories.