Principal Data Engineer / Senior Principal Data Engineer

Northrop Grumman

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Palmdale, CAEl Segundo, CA
Salary: $114,000–$171,000 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 34 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k

This role $142k

$100k $249k

below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $142,875–$215,125 — the blue band above. At the midpoint, this role pays about $142k versus about $179k for comparable roles.

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 683 open roles on FindRole.

Listed pay typically runs $117,500–$176,300 across 331 roles with salary data.

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View all roles at Northrop Grumman

At a glance

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

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JOB TITLE: Principal Data Engineer/Sr. Principal Data Engineer The Data Science Engineering Team is seeking a Principal Data Engineer or Sr. Principal Data Engineer to support digitized manufacturing processes. The successful candidate will establish repositories, data models, and integration patterns for manufacturing data, defining the architecture and interfaces for engineering and manufacturing teams. Key responsibilities include designing resilient pipelines for sensor, equipment, and quality data, and setting technical direction for greenfield manufacturing-data solutions. The role requires advanced skills in SQL, relational data modeling, and programming or automation. Preferred technologies include Python, Microsoft SQL Server, Apache Airflow, and Git-based development. The position addresses the complex problem of aligning independently managed data structures through authoritative sources, shared identifiers, and traceability to support high-volume, high-frequency, and time-dependent technical data across manufacturing domains.

What does a Data Engineer earn in California?

Median $187700 from 43 postings across 22 companies.

See salary data

Skills

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

What you'll do

Establish repositories, data models, and integration patterns for manufacturing data and digitized processes.
Define architecture, processes, and interfaces for engineering and manufacturing teams to maintain contextual data.
Align independently managed data structures through authoritative sources, shared identifiers, mappings, and traceability.
Design resilient pipelines and data services for manufacturing measurement, equipment, sensor, and quality 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

U.S. Citizenship is required.
Ability to obtain and maintain a U.S. Government Secret or Top-Secret Clearance and Program Special access.
Bachelor’s degree with 4 years of engineering experience, Master’s with 3 years, or PhD with 0 years for Principal level.
Bachelor’s degree with 8 years of engineering experience, Master’s with 6 years, or PhD with 4 years for Sr. Principal level.
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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