Description
The Senior Data Engineer will build, scale, and optimize a Databricks-first data platform for a large national property management organization. The role focuses on hands-on Spark-based real-time and batch pipelines, cloud data ingestion and transformation, data warehouse onboarding, pipeline performance tuning, and scalable data architecture supporting analytics, business intelligence, and future AI/ML initiatives. It requires a bachelor’s degree, at least five years of data engineering experience, and strong Databricks, Python, SQL, and Spark expertise.
