Senior Data Engineer: Architect & Scale Modern Data Platform | Remote

AgileEngine, LLC.; Capital; Híbrido; COP 388.878.086 - 583.317.129; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD pay

Exciting projects

Flextime: remote and office options

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Engineer to architect and scale a modern data platform, building robust ETL/ELT pipelines and optimizing Snowflake schemas for enterprise analytics.

You will orchestrate workflows with Airflow, Prefect, or Dagster, implement data quality and lineage, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role emphasizes clean, well‑tested Python code and a strong commitment to data reliability

Formación

• 4+ years of experience as a Data Engineer.
• Strong proficiency in Python and SQL, with Snowflake experience.
• Experience with REST APIs, event‑driven architectures, and batch/streaming pipelines.
• Hands‑on experience with workflow orchestration tools (Airflow/Prefect/Dagster) and data quality/ lineage frameworks.

Responsabilidades

• Design, build, and maintain reliable ETL/ELT workflows for batch and streaming data.
• Create production‑ready Snowflake schemas for enterprise analytics.
• Ingest data from third‑party REST APIs and event‑driven sources into core storage.
• Maintain and expand orchestration pipelines with Airflow/Prefect/Dagster.
• Implement automated data quality checks, lineage tracking, and alerting.

Conocimientos

Python

SQL

Snowflake

Airflow

Prefect

Dagster

REST APIs

Data quality

Git

Docker

CI/CD

Infrastructure‑as‑Code

Herramientas

Snowflake

Apache Airflow

Prefect

Dagster

Docker

Git

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Engineer to architect and scale a modern data platform, building robust ETL/ELT pipelines and optimizing Snowflake schemas for enterprise analytics.

You will orchestrate workflows with Airflow, Prefect, or Dagster, implement data quality and lineage, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role emphasizes clean, well‑tested Python code and a strong commitment to data reliability