Databricks Developer with Security Clearance

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Job description

Overview We are seeking a skilled Databricks Developer with 3-5 years of experience in Databricks and PySpark development to join our team. The ideal candidate will be proficient in writing PySpark and SQL code, with a strong background in working with Delta Lake Storage, Spark SQL, Azure Synapse, and DevOps practices. In this role, you will build and maintain efficient, scalable data pipelines, collaborate with cross-functional teams to deliver high-quality technical solutions, and ensure data governance, security, and performance optimization. Responsibilities Design, develop, and maintain data pipelines using Databricks with PySpark and Spark SQL to process large-scale datasets on the Azure platform. Write PySpark code and SQL queries for efficient data transformation, manipulation, and analysis. Experience writing to Delta Lake Storage for data persistence, ensuring that data is processed and stored in an optimized, performant manner. Collaborate with cross-functional teams to understand business requirements and translate them into scalable data pipeline solutions. Work with Azure Synapse for data warehousing and analytical processing in a cloud environment, optimizing performance and ensuring data accessibility. Work closely with DevOps teams to implement CI/CD pipelines for automated deployment and integration of data pipelines. Ensure best practices for data governance, security, and performance optimization are followed when designing and maintaining data pipelines. Troubleshoot, debug, and optimize complex data pipelines to ensure smooth operation and minimal downtime. Provide technical guidance to team members and participate in code reviews to maintain high coding standards and quality. Collaborate with stakeholders to deliver high-quality, data-driven solutions that meet business objectives. Qualifications 3-5 years of experience as a Databricks Developer or similar role with a strong focus on PySpark coding and SQL development. Proficient in PySpark and SQL for data transformation, querying, and analysis. Experience writing to Delta Lake Storage and understanding how to optimize the performance of data stored in Delta format. Strong experience with Spark SQL for querying and managing large datasets in a distributed computing environment. Experience working with Azure Synapse for cloud-based data warehousing and analytics. Solid understanding of DevOps principles and experience with CI/CD pipelines for automated deployment using tools such as Azure DevOps or similar. Strong problem-solving skills and the ability to work independently as well as part of a team. Excellent communication skills to effectively collaborate with stakeholders at various levels of the organization. Nice to have: Prior exposure to healthcare or scientific domains is a plus. Education: Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent work experience). Preferred Skills & Experience: Familiarity with Azure Data Factory for orchestrating data workflows in the cloud. Exposure to other big data technologies such as Apache Hadoop or Apache Flink. Experience with data governance tools and techniques, including data lineage, auditing, and security best practices in cloud environments. Familiarity with containerization technologies such as Docker or Kubernetes. AAP/EEO Statement: DNI complies with all federal, state and local laws designed to protect employees and job applicants from discrimination based on race, religion, color, sex, parental status, national origin, age, disability, genetic information, military service, or other non-merit-based factors. Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

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