Manager of Data Engineering

Northrop Grumman

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Falls Church, VA
Salary
$133,200–$199,800 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $166k
$124k $223k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $137,987–$213,500 — the blue band above. At the midpoint, this role pays about $166k versus about $176k 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 629 open roles on FindRole.

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

Most-posted roles

View all roles at Northrop Grumman

At a glance

TL;DR · Manager of Data Engineering

The Manager of Data Engineering will lead a team of data and software engineers within the Insights & Intelligence division to drive enterprise data, analytics, and AI transformation. This role involves managing a high-performing team to build and maintain a Databricks enterprise lakehouse while establishing a culture of engineering excellence. Key responsibilities include defining the data engineering roadmap, mentoring engineers on design patterns and code quality, and overseeing the end-to-end delivery of reliable, scalable data pipelines. The successful candidate will utilize Databricks, AWS cloud services, and data pipeline technologies to solve complex problems across domains like Finance, Supply Chain, Human Resources, and Manufacturing. You will be responsible for aligning technical priorities with business objectives and enforcing modular architecture and engineering best practices.

What you'll do

  • Define and maintain a data engineering roadmap aligned with business objectives and corporate data strategy.
  • Lead and mentor a high-performing team of data and software engineers on design patterns and code quality.
  • Influence the technical architecture and code standards for the Databricks enterprise lakehouse.
  • Drive end-to-end delivery of reliable, scalable, and high-performance data pipelines in Databricks.
  • Enforce engineering best practices and champion clean, modular architecture across all team projects.
  • Manage the technical roadmap and ensure the timely execution of all project milestones.
  • Coordinate with cross-functional leaders in areas such as supply chain, manufacturing, and human resources.

What we're looking for

  • Must have a Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Must have a Master’s degree or PhD in Engineering or a related field (preferred).
  • Must have a minimum of 8 years of experience in software or data engineering with a relevant Bachelor's degree.
  • Must have a minimum of 6 years of experience in software or data engineering with a relevant Master's degree.
  • Must have a minimum of 2 years of experience in people management leading engineering teams.
  • Must have proficiency with Databricks, cloud services (AWS), and data pipelines.
  • Must have demonstrated skill in managing technical teams, process excellence, and meeting roadmap deliverables.
  • Must have U.S. Citizenship and the ability to obtain a Secret security clearance.

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