Principal / Senior Principal Data Analytics Engineer

Northrop Grumman

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Hybrid

Quick summary

Work type
Hybrid
Location
Melbourne, FL
Employment
Full-time
Posted
106 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $193k
$128k $280k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,550–$216,271.

Based on 240 similar postings.

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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 629 open roles on FindRole.

Listed pay typically runs $117,500–$176,300 across 314 roles with salary data.

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At a glance

TL;DR · Principal / Senior Principal Data Analytics Engineer

The Principal / Sr Principal Data Analytics Engineer joins the Northrop Grumman Aerospace Systems team to provide insights driving performance across strategic activities. This role involves designing and developing automated, end-to-end ETL pipelines and data analytics solutions from disparate sources. Key responsibilities include building and optimizing data models like star, snowflake, and data vault, implementing data quality frameworks, and creating reusable analytics code libraries. The engineer will develop Tableau dashboards and KPI scorecards while ensuring compliance with data governance and security policies. Required technical skills include proficiency in SQL, Python, version control, and Agile Software Development. The position addresses the technical challenge of translating complex analytical requirements into scalable production-grade data workflows and visual insights for executive and operational audiences within a high-stakes aerospace environment.

What you'll do

  • Design, develop, and maintain scalable data pipelines and ETL processes across multiple data sources.
  • Build and optimize data models including star, snowflake, and data vault for analytics and reporting.
  • Implement robust data quality, validation, and monitoring frameworks to ensure reliability of downstream insights.
  • Create reusable, documented analytics code libraries and SDKs to accelerate self-service analytics.
  • Implement version control, testing, and CI/CD practices for all data workflows.
  • Develop and maintain Tableau dashboards, KPI scorecards, and ad-hoc querying tools for various audiences.
  • Ensure compliance with data governance, security, and privacy policies such as GDPR and CCPA.

What we're looking for

  • Bachelor’s degree in a STEM discipline with 5 years of experience in data engineering or analytics engineering.
  • Master's degree in a STEM discipline with 3 years of experience in data engineering or analytics engineering.
  • Bachelor’s degree in a STEM discipline with 8 years of experience in data engineering or analytics engineering.
  • Master's degree in a STEM discipline with 6 years of experience in data engineering or analytics engineering.
  • Strong proficiency in SQL and Python.
  • Strong proficiency in developing and deploying Tableau dashboards to translate business needs into visual insights.
  • Experience with version control and Agile Software Development.
  • Active US Government Secret clearance required with the ability to obtain Special Access Program (SAP) clearances.
  • U.S. Citizenship is required.
  • Master’s degree in Computer Science, Engineering, Statistics, or a quantitative discipline (preferred).
  • Hands-on experience with modern orchestration tools and data ecosystem platforms (preferred).
  • Deep understanding of data modeling concepts, dimensional modeling, and data warehousing methodologies (preferred).
  • Proven track record of building and maintaining production-grade data pipelines (preferred).

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