Engineer Data

Northrop Grumman•El Segundo, CA

12d•$91,800 - $137,600•Onsite

About The Position

Northrop Grumman Aeronautics Systems is seeking a Data Engineer to join our onsite team in El Segundo, California. A hybrid work arrangement may be considered for this position. We are looking for a passionate Data Engineer to design and develop an ecosystem of interconnected business systems, virtualized data pipelines, data catalogs, and end-user consumable data products. We are seeking self-motivated individuals who have a thirst for knowledge, a relentless drive to solve complex problems, and proven experience collaborating in cross functional teams.

Requirements

Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 2 years of experience OR Master’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 0 years of experience
Experience with Python, GIT, Command Line, SQL Servers, DataBricks, Oracle databases, Dagster, Tableau, Microsoft Excel, Visual Studio, FastAPI, Azure, SQL Alchemy, pytorch, scikit-learn, pillow, OpenCV and torchvision
Experience with data architecture, data models, physical database designs, data integration strategy and design for operational systems, systems integration, and analytical systems
Experience with SQL Server and proficiency in data visualization tools (e.g., Tableau, Power BI, etc.)
Active US Government Secret Clearance and ability to obtain program access

Nice To Haves

Ability to obtain Top Secret clearance
Experience with modern data orchestration tools (e.g. Airflow)
Proficiency in leading data visualization tools (e.g., Tableau, PowerBI)
Expert in Python, SQL, and data visualization tools.
Experience with data platform technologies (e.g., Palantir, Databricks, etc.).
Experience with manufacturing and quality system (e.g. MES, Solumina, TIPQA, CPATS, etc.)

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL(Extract, Transform, Load) processes across multiple data sources.
Build and optimize data models for analytics and reporting
Implement robust data quality, validation, and monitoring frameworks to ensure reliability of downstream insights.
Collaborate with data scientists, product managers, and business stakeholders to translate analytical requirements into technical specifications.
Create reusable, documented analytics code libraries to accelerate self‑service analytics.
Ensure compliance with data governance, security, and privacy policies.
Develop and maintain visualizations (e.g. Tableau dashboard, PowerBI reports, etc.) and ad‑hoc querying tools for customers and stakeholders.
Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders