Engineer Data

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

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.

• →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

• 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

• 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.)