Data Engineer - Databricks, GCP & AI-Driven Workflows

AgileEngine, LLC.; Bogotá ciudad; Híbrido; COP 404.013.000 - 606.020.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Data Engineer to design and implement scalable ETL/ELT pipelines using Databricks, PySpark, and SQL, productionizing agentic workflows for data automation.

You will integrate with Databricks, GCP, BigQuery, and Delta Lake, build reusable data components, ensure data quality, and deliver robust, scalable data solutions.

Join a people-first culture with growth opportunities, flextime, and exposure to Fortune 500 brands and innovative projects.

Formación

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Experience with GCP, BigQuery.
• Delta Lake and modern data lake architectures.
• Strong ETL/ELT design, data pipeline performance optimization, and data quality.

Responsabilidades

• Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
• Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
• Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements and datasets.
• Build reusable frameworks and components for cross-domain data engineering use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, and productionization of data and agentic solutions.
• Troubleshoot complex data and production issues and implement sustainable solutions.
• Collaborate with business, data engineering, and platform teams to identify automation opportunities.

Conocimientos

Databricks

PySpark

Advanced SQL

ETL/ELT design

Data quality

Herramientas

GCP BigQuery

Delta Lake

Descripción del empleo

AgileEngine is seeking a Data Engineer to design and implement scalable ETL/ELT pipelines using Databricks, PySpark, and SQL, productionizing agentic workflows for data automation.

You will integrate with Databricks, GCP, BigQuery, and Delta Lake, build reusable data components, ensure data quality, and deliver robust, scalable data solutions.

Join a people-first culture with growth opportunities, flextime, and exposure to Fortune 500 brands and innovative projects.