
Data Engineer, Databricks
Posted Sep 17

Posted Sep 17
This is a fully remote position, open to applicants in United States.
• Develop and set up a specialized Government workspace within the current Databricks environment.
• Create and execute data ingestion pipelines from primary agency business systems, such as financial, HR, CRM, and ITSM systems.
• Utilize native or built-in connectors when available from source systems and devise custom integration methods for older systems.
• Standardize and prepare incoming data within Databricks for subsequent visualization and reporting tools.
• Implement the Databricks Unity Catalog to ensure centralized data governance, manage metadata, conduct active auditing, and track end-to-end lineage.
• Evaluate existing configurations, review security measures for CUI/PII/PHI/financial data, and initiate enhancements.
• Create detailed as-built documentation, including physical and logical architecture diagrams, automated data dictionaries, and standard operating procedures (SOPs).
• Record data sources, integration techniques, and decisions regarding data lake architecture to aid in ongoing support.
• 5 years of work experience with a BS/BA; 3 years with an MS/MA.
• Must be a US citizen.
• Active DoD Secret clearance is required.
• 2 years of experience working on the Databricks platform.
• Strong skills in PySpark, Spark SQL, and Python for large-scale data processing and pipeline development.
• Direct experience with Unity Catalog administration, including metastore management, access policies, and data lineage.
• Familiarity with pipeline orchestration tools such as Airflow and Databricks Workflows.
• Experience with Delta Lake, schema evolution, time travel, and optimization techniques.
• Ability to integrate diverse enterprise systems, including legacy and custom integrations.
• Knowledge of cloud platforms (Azure/AWS) and infrastructure-as-code practices.
• Understanding of data governance principles, compliance frameworks, and CUI/PII handling protocols.
• Familiarity with data structures related to financial, HR, CRM, or ITSM systems.
• Experience with Git and CI/CD pipeline processes.
• DoD 8570 certification is preferred.
• Potential eligibility for overtime.
• Potential eligibility for shift differentials.
• Potential eligibility for a discretionary bonus.
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