Data Engineer - 173628

ZP Group; Norfolk (VA); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401k Plan

Holidays

PTO

Sick leave

Job summary

Zachary Piper Solutions is seeking a Data Engineer to support the U.S. Navy. This 100% onsite role is based in Norfolk, VA; San Diego, CA; or Jacksonville, FL.

You will design, build, and maintain Azure-based data pipelines using Azure Data Factory (ADF), SQL, ETL, and Power BI to turn unstructured data into reliable insights for enterprise reporting. The ideal candidate has 3–4+ years of hands-on data engineering, strong SQL and Power BI experience, and an active DoD Secret clearance.

Qualifications

• 3–4+ years of hands-on Data Engineering experience focused on enterprise data transformation, staging, aggregation and pipeline development.
• Hands-on experience building Azure Data Factory (ADF) pipelines and integrating data from multiple systems/databases.
• Strong SQL skills and experience with SQL databases, writing queries and working with enterprise data.
• Hands-on experience with Power BI, building reports/dashboards and working with underlying data.
• Experience with ETL, data integration, data transformation, data staging, and data aggregation.
• Experience connecting legacy or disparate systems and moving data between systems/repositories.
• Ability to independently evaluate unfamiliar datasets and determine ingestion, transformation, storage and preparation for reporting.
• Active DoD Secret security clearance
• IAT Level II certification
• Experience with Python, PowerShell, XML, SSIS, or Azure/cloud data environments is a plus.

Responsibilities

• Design, develop, and maintain Azure-based data pipelines to ingest, transform, stage, aggregate, and prepare data for enterprise reporting.
• Connect legacy and enterprise systems to establish reliable data flows between databases, repositories, and downstream reporting platforms.
• Analyze new datasets to determine ingestion, transformation, storage, and aggregation strategies.
• Develop and optimize SQL queries and database solutions to support data extraction, transformation, validation, and reporting.
• Support the development of Power BI dashboards and reports with accurate, clean data.
• Troubleshoot and resolve data pipeline and integration issues ensuring data quality, reliability, security, and performance.
• Collaborate with technical teams to identify opportunities for ETL, data integration, automation, and BI improvements.

Skills

Azure Data Factory (ADF)

SQL

Power BI

ETL

Python

PowerShell

XML

SSIS

Tools

SSIS

XML

Python

PowerShell

Job description

Zachary Piper Solutions is seeking a Data Engineer to support the U.S. Navy. This role is 100% onsite in Norfolk, VA; San Diego, CA; or Jacksonville, FL. The Data Engineer will design, build, and maintain Azure-based data pipelines that ingest, transform, stage, aggregate, and prepare data for enterprise reporting. This role combines hands‑on Azure Data Factory (ADF), SQL, data integration, ETL, and Power BI to connect disparate systems and turn new or unstructured data into reliable, actionable information.

Responsibilities of the Data Engineer include:

• Design, develop, & maintain Azure-based data pipelines using Azure Data Factory (ADF) to ingest, transform, stage, aggregate, & prepare data for enterprise reporting
• Connect & integrate legacy, disparate, & enterprise systems, establishing reliable data flows between databases, repositories, & downstream reporting platforms
• Analyze new & unclean datasets to determine appropriate data ingestion, transformation, storage, staging, & aggregation strategies
• Develop & optimize SQL queries & database solutions to support data extraction, transformation, validation, & reporting requirements
• Support the development of Power BI dashboards & reports, ensuring reporting tools are fed with accurate, clean, & properly structured data
• Troubleshoot & resolve data pipeline and integration issues while ensuring data quality, reliability, security, & performance
• Collaborate with technical teams to identify opportunities for ETL, data integration, automation, & business intelligence improvements

Qualifications of the Data Engineer include:

• 3–4+ years of hands‑on Data Engineering experience, with a focus on enterprise data transformation, staging, aggregation, & pipeline development
• Hands‑on experience developing Azure Data Factory (ADF) pipelines and integrating data from multiple systems and databases
• Strong experience with SQL & SQL databases, including writing queries and working directly with enterprise data
• Hands‑on experience with Power BI, including developing reports/dashboards and working with the underlying data
• Experience with ETL, data integration, data transformation, data staging, & data aggregation
• Experience connecting legacy and/or disparate systems and moving data between systems and repositories
• Ability to independently evaluate unfamiliar datasets and determine how to ingest, transform, store, & prepare data for reporting
• Active DoD Secret security clearance
• IAT Level II certification
• Experience with Python, PowerShell, XML, SSIS, Splunk, or Azure/cloud data environments is a plus

Compensation for the Data Engineer includes:

• Salary: $90,000–$100,000 depending on experience
• Benefits: Medical, Dental, Vision, 401k Plan, Holidays, PTO, sick leave as required by law

Keywords: Data Engineering, Data Engineer, Azure Data Engineer, Data Engineering, Data Pipeline, Data Pipelines, Data Integration, Data Transformation, Data Ingestion, Data Staging, Data Aggregation, ETL, ELT, Enterprise Data, Data Migration, Cloud, Azure, Microsoft Azure, Azure Data Factory, ADF, Azure Data Pipelines, Azure Data Engineering, Cloud Data Engineering, Database, SQL, SQL Server, SQL Databases, T-SQL, Database Development, Database Integration, Data Extraction, Data Warehousing, Business Intelligence, Power BI, BI, Reporting, Dashboards, Data Visualization, Enterprise Reporting, ETL, Integration, ETL, SSIS, Data Integration, System Integration, Legacy System Integration, Data Connectivity, Data Repositories, Data Transformation

Programming / Supporting: Python, PowerShell, XML, Splunk, Automation, DOD Secret, Active Secret Clearance, Security+, IAT Level II, 8570, DoD 8570, CASP, CISSP, CASP+ CE, CASP+ce, certified information systems security professional, certified informations systems security professional, certified information system security professional, certified advanced security practitioner, comptia casp, comptia CASP+, Iat III, iat level iii, iat3, iat 3, iat level three, iat three, iatthree, iat3, CISA, GCED, GCIH, certified information systems auditor, certified information system auditor, GIAC Certified enterprise defender, GIAC certified incident handler, dod cleared, dod clearance, secret clearance, secret, secret cleared, secret security clearance, security clearance, security cleared

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