Senior Data Engineer: Databricks & GCP Pipelines (Remote)

Encora Inc.; Ciudad de Mendoza; Híbrido; ARS 136.828.000 - 212.844.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine in Mendoza is seeking a Data Engineer with strong Databricks, PySpark and SQL to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will integrate with GCP, BigQuery and Delta Lake, build reusable data engineering components, implement data quality controls, and optimize workloads for performance and reliability. This role offers flextime with options to work from home or from the office, and a vibrant, growth-focused culture.

Formación

• 5+ years hands-on with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• Experience with GCP, particularly BigQuery.
• Experience with Delta Lake and lakehouse architectures.
• Strong analytical and troubleshooting skills.

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 use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, productionization, and ongoing enhancement.

Conocimientos

Databricks

PySpark

Advanced SQL

Data pipelines design

Data quality

Troubleshooting

Testing & deployment

English (Upper-intermediate)

Herramientas

BigQuery

Delta Lake

GCP

Descripción del empleo

AgileEngine in Mendoza is seeking a Data Engineer with strong Databricks, PySpark and SQL to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will integrate with GCP, BigQuery and Delta Lake, build reusable data engineering components, implement data quality controls, and optimize workloads for performance and reliability. This role offers flextime with options to work from home or from the office, and a vibrant, growth-focused culture.