Descripción de la vacante

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLE We are looking for a Senior Data Engineer to build batch and streaming pipelines on Databricks using PySpark and Delta Lake. This person migrates legacy data warehouse and ETL workloads onto a governed Lakehouse, modeling a medallion architecture that powers analytics and AI use cases.

Strong SQL, Python, and experience with Unity Catalog governance round out the role.WHAT YOU WILL DO - Design, build,



and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.

- Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and machine learning consumers.
- Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
- Use Claude or GitHub Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation, and prototyping solutions.
- Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.
- Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, cach

📌 Senior Databricks Engineer (Santiago del Estero)
🏢 AgileEngine
📍 Santiago del Estero