Data Engineer - Databricks Lakehouse & Pipelines

AgileEngine, LLC.; Santiago del Estero; Presencial; ARS 136.145.000 - 196.654.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

100% remote with flexible hours

Modern projects with leading brands

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Middle Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers.

AI tools like Claude and GitHub Copilot accelerate development. You will collaborate with DevOps, platform, and analytics teams on observability, security, and governance while delivering scalable data solutions for

Formación

• 3+ years in data engineering with Spark-based pipelines.
• Experience migrating to Databricks Lakehouse architecture.
• Strong SQL and Python programming for data modeling.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake.
• Model and maintain a medallion architecture (bronze/silver/gold) for analytics and ML.
• Migrate legacy ETL workloads to Lakehouse with validated data parity.

Conocimientos

3+ years data engineering

Apache Spark / PySpark

Databricks / Delta Lake

SQL

Python

Structured Streaming / Kafka

Databricks Workflows / Airflow

Azure Data Factory

Unity Catalog / data governance

dbt

Terraform

Herramientas

Databricks

PySpark

Delta Lake

Kafka

Airflow

Azure Data Factory

Unity Catalog

dbt

Terraform

Descripción del empleo

AgileEngine is seeking a Middle Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers.

AI tools like Claude and GitHub Copilot accelerate development. You will collaborate with DevOps, platform, and analytics teams on observability, security, and governance while delivering scalable data solutions for