Databricks Engineer

This is a long-term contract (approximately 12 months) and is hybrid to Adelphi, MD. A background check will be required.

The ideal candidate is a detail-oriented, analytical problem solver who enjoys tackling complex data challenges. They communicate clearly and collaborate effectively with cross-functional teams to deliver meaningful, data-driven solutions. They are adaptable, service-oriented, and curious, with a passion for modern data technologies and continuous improvement. Highly organized and proactive, they manage multiple priorities while maintaining a strong focus on quality, scalability, and innovation.

• Implement and optimize data models within Databricks to support efficient querying, analytics, and reporting.
• Design, develop, and maintain scalable ETL/ELT pipelines
  , with a strong emphasis on dimensional modeling and data quality.
• Partner with engineering teams and business stakeholders to gather requirements and deliver reliable, production-ready 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 cleansing processes.
• Create and maintain clear documentation for data pipelines, data models, and analytics solutions.
• Monitor, troubleshoot, and optimize data pipelines and workloads to ensure performance, reliability, and scalability.
• Stay current with industry trends, including AI-driven analytics
  , semantic modeling, and emerging data engineering best practices.

• Hands-on experience designing, implementing, and operating solutions in Databricks
  .
• Strong understanding of ETL/ELT architectures
  , data ingestion patterns, and data pipeline orchestration.
• Proficiency in Python and/or Spark for large-scale data processing.
• Experience designing and implementing dimensional data models in lakehouse or modern data platform environments.
• Familiarity with AI-driven analytics platforms
  , semantic modeling concepts, and exposure to NLP techniques.
• Experience working in SAFe Agile or other scaled Agile frameworks
  .
• Solid understanding of data governance, security, and compliance best practices in global, multi-provider data environments.

• Bachelor’s degree in Computer Science, Data Science, Engineering
  , or a related field preferred.
• Master’s degree is a plus.
• Databricks and Azure certifications strongly preferred.