Principal Engineer Data

Northrop Grumman

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Quick summary

Work type
On-site
Location
Rancho Bernardo, CA
Salary
$114,000–$171,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $142k
$95k most similar roles pay here $294k

This role pays less than 96% of similar roles. Most pay $176,775–$237,012 — the shaded band above. At the midpoint, this role pays about $142k versus about $207k 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 396 open roles on FindRole.

Listed pay typically runs $119,600–$184,200 across 241 roles with salary data.

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View all roles at Northrop Grumman

At a glance

TL;DR · Principal Engineer Data

The Principal Engineer Data joins the Digital Strategy & Analytics team to design and develop an ecosystem of interconnected business systems, virtualized data pipelines, data catalogs, and end-user consumable data products. This role involves developing a data architecture plan that supports business goals, building data models and metadata standards for integration, and collaborating with stakeholders to translate requirements into technical solutions. The position focuses on digitizing core business functions by assessing current processes and providing architectural recommendations for the digital ecosystem. Key technologies and skills include SQL Server, Python, NoSQL databases like MongoDB or Neo4J, and visualization tools such as Tableau or Power BI. Additional expertise involves ETL frameworks, Hadoop, Spark, PowerShell, and data platform technologies like Databricks or Palantir to solve complex technical problems regarding data storage, retrieval, and governance.

What you'll do

  • Design and develop an ecosystem of interconnected business systems, virtualized data pipelines, and data catalogs.
  • Develop and execute a data architecture plan that supports specific business goals and objectives.
  • Build and maintain data models and metadata standards to facilitate integration and analysis.
  • Collaborate with stakeholders to identify data requirements and develop technical solutions to meet them.
  • Provide architectural recommendations across technical teams and product owners for the digital ecosystem.
  • Lead technology assessment initiatives to digitize core business functions.
  • Analyze current business processes and systems to provide recommendations for the digital ecosystem.
  • Ensure that all data storage and retrieval solutions align with established business requirements.

What we're looking for

  • Bachelor's degree in a STEM field with at least 5 years of experience or a Master's degree in a STEM field with at least 3 years of experience.
  • Experience with data architecture, data models, physical database designs, and data integration strategy for operational and analytical systems.
  • Proficiency in SQL Server and data visualization tools such as Tableau or Power BI.
  • Knowledge of data governance best practices, data quality standards, and data security protocols.
  • Ability to maintain a government Secret clearance.
  • U.S. Citizenship is required.
  • Master's degree in a STEM field with 7 years of relevant experience (preferred).
  • Experience with ETL techniques, Python, NoSQL databases, Hadoop, Spark, or data platform technologies like Palantir and Databricks (preferred).

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