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# Data Engineer

- **Company:** Zachary Piper
- **Location:** Norfolk, VA, United States
- **Experience:** Experienced
- **Salary:** $95,000.0 - $105,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Cloud Database, CompTIA Security+, Databases, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Data Hub, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Normalization, Data Systems, Data Warehousing, Database Development, Python (Programming Language), Microsoft SQL Server, SQL Azure, Network Connections, Windows PowerShell, Power BI, DataOps, SQL Databases, SQL Server Integration Services, Systems Integration, Transact-SQL, Extensible Markup Language (XML), Enterprise Data Management, Data Processing, Cloud Platform System, Data Ingestion, Azure Data Factory, Backend, SC Clearance, Data Lakes, Tools for Reporting, Splunk, Data Pipelines, Legacy Systems
- **Published:** September 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9137352/data-engineer

## About the Role

* Active Secret Clearance
 * 3-4 years of hands-on Data Engineering experience, including enterprise data transformation, staging, aggregation, and pipeline development
 * Experience building and maintaining data pipelines using Azure Data Factory (ADF) and integrating data across multiple systems and databases
 * Strong experience with SQL databases, data modeling, and preparing data for enterprise reporting and analytics
 * Experience supporting Power BI or similar Business Intelligence/reporting tools in an enterprise environment

## Description

* Build, maintain, and optimize enterprise data pipelines using Azure Data Factory (ADF)
 * Ingest, transform, cleanse, stage, and aggregate data from disparate and legacy systems
 * Design and manage data movement between SQL databases, repositories, and cloud environments
 * Develop backend data solutions that support Power BI and enterprise reporting platforms
 * Collaborate with stakeholders to determine data connectivity, storage strategies, and reporting requirements, Keywords: Azure Data Factory (ADF), Data Engineer, Azure Data Engineer, Azure Cloud, Azure SQL, SQL Server, T-SQL, Data Pipelines, ETL, ELT, Data Integration, Data Migration, Data Ingestion, Data Transformation, Data Cleansing, Data Wrangling, Data Aggregation, Data Staging, Data Modeling, Data Warehousing, Enterprise Data Management, Data Repository Development, Database Development, Legacy System Integration, API Integration, Cloud Data Solutions, Data Architecture, Business Intelligence (BI), Power BI, Dashboard Development, Reporting Solutions, Analytics, Enterprise Reporting, SSIS, ETL Development, PowerShell, Python, XML, Splunk, Data Lake, Azure Storage, Microsoft Azure, Backend Data Engineering, Data Connectivity, Data Movement, SQL Databases, Data Governance, Data Quality, Data Operations, Security+


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