Jobs → Data & Analytics → Databricks Data/ETL Developer

About the Role We are actively seeking an experienced Databricks Data/ETL Developer with strong customer-facing presence and deep expertise in enterprise data engineering on Azure Databricks. Key Responsibilities • Design, build, and maintain scalable data pipelines in Databricks using PySpark or Spark SQL • Build streaming data ingestion pipelines using Databricks Auto Loader and Structured Streaming • Design and implement Delta Lake tables across Bronze, Silver, and Gold layers • Implement Spark and Delta Lake performance tuning (partitioning, caching, Z-Ordering, file compaction) • Leverage Azure services including ADLS Gen2 and Azure IAM for secure data access Requirements • Ex-Deloitte consulting OR Direct Medicaid experience (Must Have) • Strong expertise in Databricks and PySpark • Experience with streaming architectures and data ingestion • Knowledge of Medallion Architecture and Delta Lake • Understanding of cloud infrastructure and data security Benefits • Opportunity to work on challenging data engineering projects • Collaborative and innovative work environment