Azure Data Engineer - ADF & Power BI Onsite (DoD Secret)

Piper Companies; Norfolk (VA); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k Plan

Holidays

PTO

Job summary

Zachary Piper Solutions is seeking a Data Engineer to support the U.S. Navy. This 100% onsite role is in Norfolk, VA (with San Diego, CA and Jacksonville, FL opportunities).

You will design, build, and maintain Azure-based data pipelines for enterprise reporting, using Azure Data Factory, SQL, and Power BI to transform unstructured data into reliable information. Responsibilities include building and optimizing pipelines, integrating disparate systems, refining data models, and supporting BI

Qualifications

• Experience designing and maintaining data pipelines in Azure.
• Strong SQL and data transformation skills.
• Proficiency with Power BI reporting and dashboards.
• Experience integrating legacy and disparate systems.

Responsibilities

• Design, develop, & maintain Azure-based data pipelines using ADF.
• Connect and integrate legacy systems to enable reliable data flows.
• Analyze datasets to determine ingestion, transformation, and storage strategies.
• Develop and optimize SQL queries and database solutions for reporting needs.
• Support Power BI dashboards and reports with clean, structured data.
• Troubleshoot data pipeline issues and ensure data quality and security.
• Collaborate on ETL, data integration, and BI improvements.

Skills

SQL queries

Data modeling

ETL processes

Power BI dashboards

Tools

Azure Data Factory (ADF)

SQL databases

Power BI

Azure/cloud data environments

Python

XML

SSIS

Splunk

Job description

Zachary Piper Solutions is seeking a Data Engineer to support the U.S. Navy. This 100% onsite role is in Norfolk, VA (with San Diego, CA and Jacksonville, FL opportunities).

You will design, build, and maintain Azure-based data pipelines for enterprise reporting, using Azure Data Factory, SQL, and Power BI to transform unstructured data into reliable information. Responsibilities include building and optimizing pipelines, integrating disparate systems, refining data models, and supporting BI