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# Backend Data Engineer

- **Company:** Zachary Piper
- **Location:** Norfolk, VA, United States
- **Experience:** Experienced
- **Salary:** $95,000.0 - $100,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Cloud Database, Databases, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Stores, Data Systems, Data Warehousing, Document-Oriented Databases, Python (Programming Language), Windows PowerShell, Power BI, Standard Sql, SQL Databases, SQL Server Integration Services, Systems Integration, Extensible Markup Language (XML), Enterprise Data Management, Azure Data Factory, Delivery Pipeline, Backend, SC Clearance, Tools for Reporting, Splunk, Data Pipelines, Legacy Systems
- **Published:** September 17, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9168445/backend-data-engineer

## About the Role

* 3-4 years of hands-on Data Engineering experience
 * Active Secret clearance
 * IAT Level II certification
 * Hands-on experience developing data pipelines and ETL/data integration solutions
 * Strong hands-on experience with Azure Data Factory (ADF)
 * Strong SQL/SQL database experience
 * Experience with enterprise data transformation, staging, and aggregation
 * Experience integrating disparate, legacy, or multiple systems & moving data between them
 * Ability to take an unfamiliar dataset and determine how to ingest, transform, store, stage, aggregate, and prepare it for downstream use
 * Experience supporting data used by Power BI, Business Intelligence, or enterprise reporting environments
 * Preferred: SSIS, Python, PowerShell, XML, Splunk, Azure/cloud data environments, data warehousing/enterprise data repositories

## Description

* Design, develop, and maintain enterprise data pipelines supporting Navy and DoD environments
 * Use Azure Data Factory (ADF) to build pipelines and establish connections between legacy systems, applications, databases, and data repositories
 * Ingest data from new, unfamiliar, legacy, and disparate sources and determine the appropriate approach for extraction and integration
 * Perform data transformation, cleansing, staging, aggregation, and preparation for downstream reporting and analytics
 * Develop and maintain SQL queries and work directly with SQL databases and data repositories
 * Integrate systems and move data between different platforms and repositories
 * Troubleshoot data pipeline failures, connectivity issues, data quality problems, and integration issues
 * Work with stakeholders and technical teams to understand data sources, dependencies, requirements, and downstream reporting needs
 * Develop data solutions that can reliably feed Power BI and other enterprise BI/reporting tools
 * Document data flows, pipeline architecture, integrations, transformations, and dependencies
 * Support an evolving enterprise data environment while working with both modern cloud technologies and legacy systems
 * Collaborate with the team's front-end/BI-focused Data Engineer to ensure reporting requirements are supported by reliable backend data infrastructure


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