Principal Data Engineer / Senior Principal Data Engineer

Northrop Grumman

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Quick summary

Work type: On-site
Location: Palmdale, CA
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 33 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $177k

$129k $246k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $140,300–$214,650.

Based on 240 similar postings.

Employer

About Northrop Grumman

Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense

Northrop Grumman currently has 679 open roles on FindRole.

Listed pay typically runs $119,600–$179,400 across 332 roles with salary data.

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At a glance

TL;DR · Principal Data Engineer / Senior Principal Data Engineer

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The Principal Data Engineer/Sr. Principal Data Engineer joins the Data Science Engineering Team to support digitized manufacturing processes. This role involves establishing repositories, data models, and integration patterns for manufacturing data while defining the architecture for engineering and manufacturing teams to maintain contextual data. The successful candidate will design resilient pipelines and data services integrating measurement, equipment, sensor, process, product-location, quality, and enterprise-system data. Key responsibilities include setting technical direction for greenfield manufacturing-data solutions and aligning independently managed data structures through shared identifiers and traceability. Required skills include SQL, programming, automation, and relational data modeling. Preferred technologies include Python, Microsoft SQL Server, Apache Airflow, Git-based development, automated testing, CI/CD, and monitoring. The work focuses on solving complex data problems across manufacturing, engineering, and program domains.

What does a Data Engineer earn in California?

Median $194100 from 41 postings across 22 companies.

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Skills

SQL Python Apache Airflow Microsoft SQL Server Data Architecture CI/CD Git Data Modeling APIs Data Engineering data, lineage Data Quality Production Operations Automated Testing

What you'll do

Establish repositories, data models, and integration patterns for manufacturing data and technical context.
Define architecture, processes, and interfaces for engineering and manufacturing teams to maintain contextual data.
Align independently managed data structures using authoritative sources, shared identifiers, mappings, and traceability.
Design resilient pipelines and data services for manufacturing measurement, equipment, sensor, and enterprise-system data.
Set technical direction for greenfield manufacturing-data solutions and communicate strategy and risks to senior leaders.
Develop data services, APIs, or application interfaces that allow domain teams to provide and maintain contextual data.
Lead architecture reviews, mentor technical contributors, and improve data-engineering maturity across the organization.

What we're looking for

Must be able to obtain and maintain a U.S. Government Secret or Top-Secret Clearance and Program Special access.
U.S. Citizenship is required.
Bachelor’s degree with 4 years of engineering experience, Master’s with 3 years, or PhD with 0 years for Principal Data Engineer.
Bachelor’s degree with 8 years of engineering experience, Master’s with 6 years, or PhD with 4 years for Sr. Principal Data Engineer.
Advanced experience using SQL, programming or automation, and relational data modeling to deliver production data products.
Experience defining data architecture, including repositories, schemas, interfaces, integration patterns, metadata, lineage, and data quality.
Experience designing pipelines and integration approaches for complex data from multiple independently managed sources.
STEM degree in a related field (preferred).

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