Sentinel Staff Data Scientist

Northrop Grumman

Quick summary

Work type
On-site
Location
Roy, UTManhattan Beach, CA
Salary
$168,200–$292,100 / yr
Posted
4 days ago
Nearby
30 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k
This role $230k
$80k most similar roles pay here $315k

This role pays more than 93% of similar roles. Most pay $126,800–$185,487 — the shaded band above. At the midpoint, this role pays about $230k versus about $156k 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 213 open roles on FindRole.

Listed pay typically runs $114,900–$172,400 across 213 roles with salary data.

Most-posted roles

View all roles at Northrop Grumman

At a glance

TL;DR · Sentinel Staff Data Scientist

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Northrop Grumman Defense Systems is hiring a Staff Data Scientist to join their SDS Division Analytics team as a data engineering technical lead, focusing on developing and maintaining robust data pipelines from authoritative sources to support metrics and analytics for the Sentinel program. This role involves working closely with frontend specialists and stakeholders to ensure raw data is converted into actionable insights, driving informed decision-making across the organization. The ideal candidate will have extensive experience in Python, SQL, Neo4j, Tableau, AWS, and other relevant tools, along with a strong background in ETL/ELT pipeline development and distributed cloud storage solutions. They should also possess skills in DevOps practices, data governance, and strategic architectural decision-making to mentor junior engineers and uphold engineering best practices within the team.

Skills

Python SQL AWS Tableau Neo4j CI/CD Kubernetes Docker DevOps Terraform PostgreSQL MongoDB Apache Hadoop Apache Spark ELT ETL Data Governance Metadata Management Security Protocols APIs

What you'll do

  • Develop, deploy, and maintain data pipelines from authoritative sources using APIs and custom code.
  • Oversee long-range goals and near-term objectives related to data collection, management, and conversion.
  • Provide mentorship and leadership to junior data engineers, conducting code reviews and championing best practices.
  • Work with frontend specialists and stakeholders to create metrics and analytics for decision-making.
  • Handle structured and unstructured data using database management systems and distributed cloud storage structures.

What we're looking for

  • 12+ years of professional data science/engineering experience or equivalent combination of education and experience.
  • Expertise in developing and maintaining production-quality ETL/ELT pipelines using various tools and programming languages.
  • Strong background in handling structured and unstructured data with database management systems.
  • Experience with distributed cloud storage structures, local databases, and other data storage solutions.
  • US citizenship required for the position.
  • Demonstrated leadership skills including mentorship, code reviews, and championing engineering best practices.

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