Data Engineer

Zachary Piper Solutions is seeking a Data Engineer to support a defense-focused organization delivering enterprise data modernization and reporting solutions. This position is on-site in Norfolk, VA, San Diego, CA, or Jacksonville, FL. The Data Engineer will support the design, development, and maintenance of enterprise data pipelines, transforming disparate data sources into actionable insights for mission-critical reporting and decision-making. This role offers the opportunity to directly contribute to data-driven operations supporting national security objectives.

Responsibilities for the Data Engineer include:

• Develop and maintain Azure Data Factory (ADF) pipelines to ingest, transform, and move data between enterprise systems and repositories.
• Perform data transformation, staging, aggregation, and cleansing activities to support enterprise reporting requirements.
• Build and maintain integrations between legacy systems, databases, and cloud-based environments.
• Collaborate with stakeholders to prepare data for Power BI dashboards, analytics, and business intelligence initiatives.
• Support data quality validation, troubleshooting, optimization, and continuous improvement of enterprise data workflows.

Required Qualifications for the Data Engineer include:

• 3-4 years of hands-on experience in Data Engineering, ETL development, or enterprise data integration.
• Strong experience with Azure Data Factory (ADF), SQL, Power BI, and data pipeline development.
• Experience with enterprise data transformation, staging, aggregation, and integrating data across multiple systems.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical field (or equivalent experience).
• Active Secret Clearance and Security+ certification (IAT Level II) required.

Compensation for the Data Engineer include:

• Salary Range: $90,000 - $100,000 depending on experience
• Full Benefits Package: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Tuition Reimbursement, Sick Leave as required by law

#LI-ER1 #LI-ONSITE

Keywords: Data Engineer, Azure Data Factory, ADF, Data Engineering, Data Pipeline Development, ETL, SQL, Power BI, Business Intelligence, Data Transformation, Data Staging, Data Aggregation, Data Integration, Enterprise Reporting, Azure Cloud, Data Migration, Legacy System Integration, Data Analytics, Security+, IAT Level II, Secret Clearance, Norfolk VA, San Diego CA, Jacksonville FL, Data Warehousing, Cloud Data Engineering, PowerShell, Python, SSIS, Splunk, Azure Data Services.