Data Engineer: Databricks, GCP Pipelines & Automation

AgileEngine, LLC.; Córdoba; Presencial; ARS 137.157.000 - 198.116.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. We design and optimize pipelines using Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; and build reusable components across teams, while enforcing data quality and production controls.

This role offers growth, competitive USD compensation, and flexible work options to balance

Formación

• 5+ years of hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• GCP experience, BigQuery proficiency.
• Delta Lake and modern data lake architectures.
• Experience building reliable, scalable data solutions.
• Strong analytical and troubleshooting skills.
• Understanding of software engineering practices (testing, version control, deployment).

Responsabilidades

• Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
• Build and operationalize agentic workflows to automate data engineering and operational processes.
• Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements.
• Build reusable frameworks and components across data engineering and business use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance, reliability, and scalability.
• Support testing, deployment, productionization, and enhancement of data 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

GCP BigQuery

Delta Lake

ETL/ELT design

Data quality checks

Production-grade data

Troubleshooting

Testing & deployment

Herramientas

Databricks

PySpark

SQL

BigQuery

Delta Lake

Descripción del empleo

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. We design and optimize pipelines using Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; and build reusable components across teams, while enforcing data quality and production controls.

This role offers growth, competitive USD compensation, and flexible work options to balance