Senior Databricks Engineer — Lakehouse Pipelines & Flextime

AgileEngine, LLC.

San Miguel de Tucumán

Híbrido

ARS 181.094.000 - 233.913.000

Jornada completa

Hace 4 días

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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 Senior Data Engineer to design and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake, migrating legacy ETL workloads to a governed Lakehouse.

You will model a medallion architecture and collaborate with DevOps and analytics teams; strong SQL and Python are required for scalable data solutions. This remote-friendly role offers flexible work options and competitive USD-based compensation.

Formación

3+ years of professional experience in data engineering.
Strong SQL and Python skills with data modeling experience.
Experience with Spark, Databricks, Delta Lake, and cloud-based data architectures.
Experience with streaming ingestion and workflow orchestration.

Responsabilidades

Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
Model and maintain a medallion architecture for analytics, reporting, and ML consumers.
Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated parity.
Write clean Python and SQL; review tests and documentation.
Optimize Spark jobs and Delta tables for performance and cost.
Implement data quality, lineage, and governance controls using Unity Catalog.
Collaborate with DevOps, platform, and analytics engineers on observability and security.