Senior Principal Data Systems Engineer - Analytics & ETL

0090 CORP-Corporate Office; United States; On-site; USD 93,000 - 175,000; Full time

Benefits offered by this job

Relocation assistance may be available

Health insurance

Life and disability insurance

Savings plan

Holidays and PTO

Job summary

Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer – Data Analyst to join an engineering analytics team. You will translate questions into data requirements, build modular analytics tools, and deliver end-to-end data solutions with clear visualizations for technical and non-technical stakeholders.

The role requires strong Python, SQL, data modeling, and experience with ETL, CI/CD, and data storytelling.

Qualifications

• Principal Systems Engineer 3 - Bachelor’s degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master’s degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science.
• Senior Principal Systems Engineer 4 - Bachelor’s degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master’s degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science.
• Proficient/Advanced Python Skills; comfortable with large, production codebases
• Experience with relational database design
• Proficient SQL Skills; comfortable with complex joins
• Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting
• Comfortable with version control (Git, branching strategies, code review)
• Strong analytics skills – proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative
• Proficient in data visualization and storytelling
• Ability to obtain a DOD Secret clearance
• Ability to obtain and maintain Special Access Program (SAP) clearance.

Responsibilities

• Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements.
• Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices.
• Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting
• Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently.
• 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

Skills

Python

SQL

Relational database design

ETL pipelines

Git

Data visualization

Analytics storytelling

Clearance eligibility

Education

Bachelor’s degree in STEM

Master’s degree in STEM

PhD in STEM

Tools

Django Framework

Tableau

CI/CD pipelines

Virtual environments

Job description

Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer – Data Analyst to join an engineering analytics team. You will translate questions into data requirements, build modular analytics tools, and deliver end-to-end data solutions with clear visualizations for technical and non-technical stakeholders.

The role requires strong Python, SQL, data modeling, and experience with ETL, CI/CD, and data storytelling.