Jobs → Data & Analytics → Databricks Engineer

About the Role We are looking for a Databricks Engineer to join our team. This role focuses on the end-to-end data lifecycle, including analysis, design, and implementation of data solutions on the Databricks Data Intelligence Platform. Key Responsibilities • Design and implement data solutions on the Databricks Data Intelligence Platform • Leverage Databricks, Python, PySpark, and SQL for data ingestion, transformation, modeling, and pipeline orchestration • Lead solution design and set engineering standards for pipeline building, governance, and deployment • Guide other data engineers in their work Requirements • 10+ years of professional experience in data engineering, data & analytics, or data warehousing • 5+ years of hands-on experience working with Databricks in a data engineering capacity • 5+ years of experience with Python, including manipulating large datasets using PySpark DataFrames, Spark SQL, and/or the pandas API on Spark • 3+ years of data engineering experience on Microsoft Azure (e.g., ADLS Gen2, Azure Data Factory, Key Vault, Microsoft Entra ID) Preferred Qualifications • Active Databricks Certified Data Engineer Professional certification • Active Databricks Certified Data Engineer Associate certification • Experience with healthcare data (e.g., claims, EHR/clinical data, HL7/FHIR) and HIPAA/PHI handling • Infrastructure as code experience with Terraform (Databricks and Azure providers) • Experience preparing data for machine learning and generative AI use cases • Familiarity with Delta Sharing and Lakehouse Federation