Senior Data Engineer (Databricks + AI/ML) – Remote – Latin America

About the role

FullStack is looking for a Senior Data Engineer with deep expertise in Databricks and AI/ML to join a client’s team remotely across Latin America. You will work side‑by‑side with designers, engineers, data scientists and ML engineers to deliver production‑grade data solutions that power intelligent products.

Key responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Databricks.
• Prepare and transform data for machine‑learning models, supporting end‑to‑end AI/ML workflows.
• Collaborate with cross‑functional teams to integrate data solutions into product features.
• Implement data quality checks, performance optimisation, monitoring and reliability practices.
• Maintain CI/CD pipelines for data applications and contribute to shared libraries.
• Participate in Agile/Scrum ceremonies and drive continuous improvement.

Required profile

• 5+ years of professional data‑engineering experience.
• Advanced English proficiency.
• Completed a four‑year college degree.
• Proven ability to work independently and take ownership of deliverables.

Required skills

• Databricks platform, Delta Lake, Apache Spark.
• Python (or similar) for data engineering.
• SQL and data modelling.
• Cloud platforms: AWS, Azure, or GCP.
• Experience with AI/ML pipelines, feature engineering, MLOps.
• ETL/ELT pipeline design and optimisation.
• Agile/Scrum methodology.