Data Engineer (Azure Data Factory)

Zachary Piper Solutions is seeking a Data Engineer (Azure Data Factory) to support a government consulting organization in any of the following three locations: Norfolk, VA, San Diego, CA, or Jacksonville, FL. The Data Engineer will be responsible for ingesting, transforming, staging, aggregating, and preparing enterprise data for reporting and analytics initiatives across multiple systems and databases.

Responsibilities of the Data Engineer (Azure Data Factory) Include:

• 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
  
  

Qualifications for the Data Engineer (Azure Data Factory) Include:

• Active Security (IAT Level II) certification and an
• 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
  
  

Compensation for the Data Engineer (Azure Data Factory) Include:

• Salary Range: $95,000 - $105,000
• Comprehensive Benefits: Medical, Dental, Vision, 401(k), PTO, Sick Leave if required by law, and Holidays
  
  

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