Senior Principal Data Engineer — Greenfield Data Pipelines

Northrop Grumman; El Segundo (CA); On-site; USD 114,000 - 213,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

Savings plan

Company paid holidays

Job summary

Northrop Grumman Aeronautics Systems seeks a Principal Data Engineer (or Sr. Principal) to join our Data Science Engineering Team in CA. On-site with Palmdale/El Segundo options, you will drive data architecture, pipelines, and governance for manufacturing data across complex sources.

Applicants should have a strong track record in data engineering, SQL, Python, Airflow, and enterprise data services. A U.S. government clearance is required, with generous compensation and benefits.

Qualifications

• Bachelor’s degree or higher with relevant engineering experience; multiple pathways to Senior levels.
• Experience delivering production data products and data pipelines.
• Ability to obtain and maintain U.S. government security clearance (Secret or higher).

Responsibilities

• Establish data repositories, models, and integration patterns for manufacturing data.
• Define architecture and interfaces for engineering and manufacturing data flows.
• Align data structures across sources with metadata, lineage, and quality controls.
• Design resilient pipelines for manufacturing and enterprise data sources.
• Provide technical direction for greenfield data solutions and communicate with senior leaders.

Skills

SQL

Programming

Data modeling

Data architecture

Data pipelines

Communication to leadership

Travel readiness

Education

Bachelor’s degree in a technical field

Master’s degree in a technical field

PhD in a related field

Tools

Python

Microsoft SQL Server

Apache Airflow

Git

CI/CD tools

Job description

Northrop Grumman Aeronautics Systems seeks a Principal Data Engineer (or Sr. Principal) to join our Data Science Engineering Team in CA. On-site with Palmdale/El Segundo options, you will drive data architecture, pipelines, and governance for manufacturing data across complex sources.

Applicants should have a strong track record in data engineering, SQL, Python, Airflow, and enterprise data services. A U.S. government clearance is required, with generous compensation and benefits.