Principal Engineer Data
At a glance
Senior Engineering Leadership role at Ngc. United States-California-El Segundo · full-time · $114,000–$171,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Design and maintain data pipelines and ETL workflows that bring together information from multiple sources
- Shape data models for analytics and reporting, then add checks and monitoring to protect the reliability of results
- Turn analytical needs into technical plans with data scientists, product managers and business stakeholders
- Build reusable analytics code and Tableau dashboards, while supporting ad hoc questions from users
- Guide technical direction through design reviews, prototypes, code contributions, mentoring and cross-team planning
What you bring
- A STEM bachelor’s degree plus at least five years of experience, a master’s plus three, or a doctorate plus one
- An active U.S. Secret clearance and eligibility to obtain special program access
- Experience with Python, SQL Server, data architecture and integration, plus the listed analytics and engineering tools
Who this fits
This suits a senior data engineer who can lead technical work while building production data and AI/ML capabilities. The role is onsite in El Segundo, California, though hybrid work may be considered. Expect travel about ten percent of the time; relocation assistance is unavailable.
From the employer
Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
Northrop Grumman Aeronautics Systems is seeking a Principal Data Engineer with AI Experience to join our onsite team in El Segundo, California.
A hybrid work arrangement may be considered for this position.
We are looking for a passionate Principal Data Engineer to design and develop an ecosystem of interconnected business systems, virtualized data pipelines, data catalogs, and end-user consumable data products. We are seeking self-motivated individuals who have a thirst for knowledge, a relentless drive to solve complex problems, and proven experience collaborating in cross functional teams.
Job Responsibilities
Demonstrated technical leadership (leading designs, mentoring engineers, driving cross-team technical alignment).
Design, develop, and maintain scalable data pipelines and ETL(Extract, Transform, Load) processes across multiple data sources.
Build and optimize data models for analytics and reporting
Implement robust data quality, validation, and monitoring frameworks to ensure reliability of downstream insights.
Collaborate with data scientists, product managers, and business stakeholders to translate analytical requirements into technical specifications.
Create reusable, documented analytics code libraries to accelerate self‑service analytics.
Evaluate emerging data technologies and recommend improvements to the analytics stack.
Ensure compliance with data governance, security, and privacy policies.
Develop and maintain Tableau dashboards, , and ad‑hoc querying tools for customers and stakeholders.
Provide technical leadership through design reviews, prototyping, code contributions, and mentoring while aligning roadmaps across teams.
Partner with product, platform, data, security, and compliance to establish responsible AI practices, model governance and predictive modeling
Applied AI/ML engineering experience delivering models to production (classical ML and/or deep learning, including LLM-enabled solutions).
Experience integrating AI/ML capabilities into enterprise software systems (APIs/services, data pipelines, and production deployment patterns).
Experience working in regulated environments with strong emphasis on security, data handling, and governance expectations for AI use.
Basic Qualifications:
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 OR PhD Degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 1 years of experience
Experience with Python, GIT, Command Line, SQL Servers, DataBricks, Oracle databases, Dagster, Tableau, Microsoft Excel, Visual Studio, FastAPI, Azure, SQL Alchemy, pytorch, scikit-learn, pillow, OpenCV and torchvision
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.)
Active US Government secret clearance and with the ability to obtain special program access
Preferred Qualifications:
Experience with modern data orchestration tools (e.g. Airflow)
Proficiency in leading data visualization tools (e.g. Tableau, PowerBI)
Expert in Python, SQL, and data visualization tools.
Experience in ERP, MRP, and Quality systems (e.g. SAP, MES, Solumina, TIPQA, etc.)
Experience with data platform technologies (e.g., Palantir, Databricks, etc.).
Experience leading AI technical strategy/roadmaps for a program or product; influencing stakeholders across software, systems, and program leadership.
Deep experience with LLM solutions, including retrieval-augmented generation (RAG), evaluation/guardrails, and enterprise-ready integration.
Familiarity with enterprise AI governance and responsible-use expectations, including alignment to company AI governance procedures.