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Data Engineer Security Clearance
Job Description & How to Apply Below
Zachary Piper Solutions is seeking a Data Engineer to support a company focused on modernizing enterprise data platforms and reporting capabilities within a defense technology environment. This position is 100% onsite in Norfolk, VA. The Data Engineer will design, build, and optimize Azure-based data pipelines that transform complex data into actionable business intelligence. This is an opportunity to play a key role in enabling data-driven decision making through scalable cloud data solutions and enterprise reporting.
Responsibilities for the Data Engineer include:
* Design, develop, and maintain data pipelines using Azure Data Factory (ADF)
* Ingest, transform, cleanse, stage, and aggregate data from multiple enterprise and legacy data sources
* Build and maintain data repositories and SQL-based data solutions to support reporting requirements
* Develop Power BI dashboards and reports that provide actionable insights to stakeholders
* Collaborate with technical teams to integrate disparate systems and improve enterprise data accessibility
Required Qualifications for the Data Engineer include:
* 3+ years of hands-on experience in Data Engineering, ETL development, or data pipeline development
* Experience with Azure Data Factory (ADF), SQL Server, and data integration technologies
* Experience with Power BI, business intelligence reporting, and data visualization
* Strong understanding of enterprise data transformation, data modeling, staging, and aggregation processes
* Ability to work independently to analyze new data sources and determine ingestion, storage, and reporting strategies
* Security+ certification (IAT Level II)
* Active Secret Clearance Compensation for the Data Engineer includes:
* Salary Range: $80,000 - $100,000 depending on experience
* Full Benefits Package: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Tuition Reimbursement, Sick Leave as required by law #LI-MZ1 #LI-ONSITE SEO + Certification, Azure Reporting Solutions, Data Migration, Legacy System Integration, SQL Database Development, Cloud Data Engineering
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