Data Engineer - Secret Clearance | Hybrid, 10% Travel

Northrop Grumman

El Segundo (CA)

Hybrid

USD 92,000 - 138,000

Full time

14 days+

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Job summary

Northrop Grumman Aeronautics Systems in El Segundo, CA is seeking a Data Engineer to join our onsite team with a potential hybrid arrangement. You will design and develop a scalable data ecosystem, implement data quality controls, and collaborate with data scientists and product teams to deliver actionable analytics.

The role requires self‑motivated individuals with a passion for solving complex problems and experience building data pipelines, models, and dashboards using modern visualization

Qualifications

  • Bachelor’s degree in STEM with 2+ years experience or Master’s in STEM.
  • Experience with Python, SQL, Tableau/Power BI, and data tools listed.
  • Active US Government Secret Clearance or ability to obtain.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL across data sources.
  • Build and optimize data models for analytics and reporting.
  • Implement data quality, validation, and monitoring frameworks.
  • Collaborate with data scientists, product managers and stakeholders.
  • Create reusable analytics code libraries.
  • Ensure compliance with data governance, security, and privacy.
  • Develop visualizations (Tableau/PowerBI) and ad-hoc querying tools.
  • Perform exploratory data analysis and synthesize insights.

Skills

Python
GIT
Command Line
SQL

Education

Bachelor's degree in STEM
Master's degree in STEM

Tools

DataBricks
Tableau
Power BI
Airflow
Palantir
Databricks

Job description

Northrop Grumman Aeronautics Systems in El Segundo, CA is seeking a Data Engineer to join our onsite team with a potential hybrid arrangement. You will design and develop a scalable data ecosystem, implement data quality controls, and collaborate with data scientists and product teams to deliver actionable analytics.

The role requires self‑motivated individuals with a passion for solving complex problems and experience building data pipelines, models, and dashboards using modern visualization

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