Data Bricks Engineer

Position 2) Data bricks engineer Location : Herndon, VA Onsite GC or USC Only Long term contract Key Responsibilities • Implement and optimize data models and structures within Databricks to support efficient querying, analytics, and reporting. • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows, with a strong emphasis on dimensional data modeling and data quality. • Partner with engineering teams and business stakeholders to gather requirements and deliver reliable analytics solutions. • Develop, optimize, and maintain SQL queries, notebooks, and scripts for data ingestion, transformation, and processing. • Ensure data accuracy, consistency, and integrity through validation, monitoring, and data cleansing processes. • Create and maintain comprehensive documentation for data pipelines, models, and analytics solutions. • Monitor, troubleshoot, and optimize data pipelines and analytics workloads to ensure performance and reliability. • Stay current with industry trends, including AI-driven analytics tools, semantic modeling, and emerging data engineering best practices. Preferred Experience • Hands-on experience implementing and operating solutions in Databricks. • Strong understanding of ETL/ELT architectures and data ingestion patterns. • Proficiency in Python and/or Spark for large-scale data processing. • Experience designing and implementing dimensional data models in data lakehouse environments. • Familiarity with AI-driven analytics platforms, semantic modeling concepts, and NLP techniques. • Experience working in SAFe Agile or other scaled Agile environments. • Solid understanding of data governance, security, and compliance best practices in global environments with numerous data providers and consumers. Qualifications: • Bachelor's degree in computer science, Data Science, Engineering, or a related field is preferred. • Master's degree is a plus. • Databricks and Azure certifications strongly preferred.