Onsite Backend Data Engineer – Navy Data Pipelines & Azure

Piper Companies; Norfolk (VA); Presencial; AUD 136.000 - 143.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

401k Plan

Holidays

Descripción de la vacante

Zachary Piper Solutions is seeking a Backend Data Engineer to support the USN. This 100% onsite role is located in Norfolk, VA and focuses on building and maintaining data pipelines for enterprise reporting and analytics.

You will work with Azure Data Factory, SQL, and Power BI to ingest, transform, and prepare data from diverse sources, ensuring reliable backend data infrastructure and collaboration with the BI-focused Data Engineer.

Formación

• 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 SQL/SQL database experience.
• Experience with Power BI or enterprise reporting environments.

Responsabilidades

• Design, develop, and maintain enterprise data pipelines supporting Navy and DoD environments.
• Use Azure Data Factory (ADF) to build pipelines and connect legacy systems, applications, databases, and data repositories.
• Ingest data from legacy, unfamiliar, and disparate sources and determine extraction approaches.
• Transform, cleanse, stage, aggregate, and prepare data for downstream reporting and analytics.
• Develop and maintain SQL queries and work with SQL databases and data repositories.
• Document data flows, pipeline architecture, integrations, transformations, and dependencies.

Conocimientos

Azure Data Factory

SQL

ETL / Data Integration

Power BI

Data Pipelines

Legacy Systems

Secret Clearance

IAT Level II

Python

Herramientas

SSIS

PowerShell

XML

Splunk

Azure Cloud

Descripción del empleo

Zachary Piper Solutions is seeking a Backend Data Engineer to support the USN. This 100% onsite role is located in Norfolk, VA and focuses on building and maintaining data pipelines for enterprise reporting and analytics.

You will work with Azure Data Factory, SQL, and Power BI to ingest, transform, and prepare data from diverse sources, ensuring reliable backend data infrastructure and collaboration with the BI-focused Data Engineer.