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# Principal Engineer Data

- **Company:** Northrop Grumman
- **Location:** San Diego, CA, United States
- **Experience:** Experienced
- **Salary:** $114,000.0 - $171,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Automation of Tests, Business Systems, CompTIA Security+, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Virtualization, Data Visualization, Database Storage Structures, Design of User Interfaces, Apache Hadoop, Python (Programming Language), Metadata Repositories, Metadata Standards, Microsoft SQL Server, MongoDB, Neo4j, NoSQL, Windows PowerShell, Power BI, SQL Databases, Systems Integration, Tableau (Software), Workflow Management Systems, Data Storage Management, Apache Spark, SC Clearance, Collibra, Operational Systems, Data Pipelines, Databricks
- **Published:** August 1, 2026
- **Apply:** https://dejobs.org/x/x/6CD4117F219E44BD84BF424546F0B372/job/

## About the Role

Are you motivated to work in an environment that will challenge you, force you to continuously innovate, and work on solutions that make a difference for your customers? Northrop Grumman Aeronautics Systems relies on our team to provide the insights needed to drive performance across a broad range of strategic activities. We are looking for a passionate Data Engineer to design and develop an ecosystem of interconnected business systems, virtualized data pipelines, data catalogs, and end-user consumable data products.

You will share in the ownership of the technical vision and direction for a Digital Ecosystem that changes the way we see and use data. We are looking for people who are self-motivated, hardworking, and have demonstrated the ability to find innovative solutions to complex technical problems., Excellent verbal, written, and presentation communication skill

Collaboration and problem-solving skills, * Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 5 years of experience OR Master's degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 3 years of experience

 * Experience with data architecture, data models, physical database designs, data integration strategy and design for operational systems, systems integration, and analytical systems
 * Experience with SQL Server and proficiency in data visualization tools (e.g., Tableau, Power BI, etc.)
 * Knowledge of data governance best practices, data quality standards, and data security protocols
 * Your ability to transfer and maintain the final adjudicated government Secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the Company., * Master's degree in a STEM field with 7 years of relevant experience.
 * 5 years of experience working with ETL techniques and frameworks.
 * Expert in Python, SQL, and data visualization tools.
 * Experience with NoSQL Databases (e.g., MongoDB, Neo4J, etc.)
 * Development experience utilizing Hadoop, Spark, PowerShell, and automation scripts.
 * Experience with data platform technologies (e.g., Palantir, Databricks, etc.).
 * Experience with Data Virtualization, Warehousing, Cataloging, and Orchestration tools (e.g. Denodo, Collibra, Airflow, DataHub, etc.)
 * Experience with UI/UX design and development / Graphic Design
 * Top Secret clearance
 * CompTIA Security+ Certification or Equivalent 8570 Certification

## Description

Develop and run a data architecture plan that supports business goals and objectives

Build and maintain data models and metadata standards to facilitate data integration and analysis

Work with business stakeholders to understand their data requirements and develop solutions to meet those requirements

Work across technical teams and product owners to provide an architectural recommendation

Lead a technical and technology assessment initiative to develop and deliver a recommendation for digitizing core business functions

Understand the current business processes, systems and their functions to be able to develop a recommendations for the digital ecosystem

Ensure that data storage and retrieval solutions are in line with business requirements.


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