Skills this job asks for
Data engineeringLeadershipComplianceTableauMachine learningDeep learningLLMs
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Confirmed live todayWhen a source last listed this job as open.
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US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsorship unknown
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About the role
RELOCATION ASSISTANCE: No relocation assistance available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time 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
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