Databricks Data Engineer

Databricks Data Engineer: Implement data engineering activities on mission-driven projects, design and deploy modern data pipelines and platforms, and support multi-disciplinary team in agile environment.

Requirements

• 3+ years of experience with data engineering concepts and delivery
• 3+ years of experience working with Databricks, Apache Spark, or distributed data processing frameworks
• 3+ years of experience working with Python and PySpark development
• 3+ years of experience with SQL and working with structured and semi-structured data
• Experience with data pipelines, workflow orchestration, or process automation
• Experience working in cloud environments, including Azure, AWS, or GCP
• Experience supporting data architectures, including data lakes, data warehouses, or data marts

Benefits

• Paid time off
• Health, life, disability, financial, and retirement benefits
• Professional development and tuition assistance
• Recognition awards program
• Dependent care and work-life programs