Senior Data Engineer, Databricks (Latam)

As a Senior Data Engineer, you will guide organizations through their data modernization journeys by leveraging Databricks and cloud-based data solutions. You will design, develop, and optimize data pipelines, architectures, and analytical workflows that enable actionable insights for fast-paced, innovative companies.

Requirements

• 5+ years of experience in data engineering roles
• 2+ years of hands-on experience with Databricks; Databricks Data Engineer certification is preferred
• Strong expertise with Python, PySpark, Spark SQL, and Databricks Delta Lake technology
• Experience with Spark Structured Streaming, Delta Live Tables (DLT), and cloud data stacks
• Advanced SQL skills and familiarity with relational and modern databases
• Ability to work collaboratively in remote teams, provide technical leadership, and act as a trusted advisor

Benefits

• Competitive compensation and performance-based incentives
• Fully remote work with flexibility in schedule and location
• Opportunities to work on cutting-edge data projects and cloud technologies
• Professional growth through exposure to diverse clients and data challenges
• Collaborative, inclusive, and supportive company culture
• Access to learning and development resources to advance technical skills