Principal Systems Engineer / Sr. Principal Systems Engineer - Data Analyst

Northrop Grumman•San Diego, CA
•$93,300 - $213,400

About The Position

Northrop Grumman Aeronautics Systems is hiring a Principal or Senior Principal Systems Engineer – Data Analyst as an individual contributor on an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to define problem spaces and develop solutions for data processing and visualization projects. The position may be filled at Level 3 or Level 4. The role involves translating technical and programmatic questions into analytical requirements; developing scalable data processing and analytics tools; supporting end-to-end data solutions; building user interfaces for data entry and review; and analyzing engineering and business data to produce actionable insights. The position requires the ability to obtain a DoD Secret clearance and obtain and maintain Special Access Program (SAP) clearance. Travel is 10% of the time. Relocation assistance may be available.

Requirements

  • For Principal Systems Engineer Level 3: Bachelor’s degree in a STEM discipline and 5 years of related professional or 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 experience; or a Ph.D. in a STEM discipline and 1 year of related experience.
  • For Senior Principal Systems Engineer Level 4: Bachelor’s degree in a STEM discipline and 8 years of related professional or 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 experience; or a Ph.D. in a STEM discipline and 4 years of related experience.
  • Proficient or advanced Python skills and comfort working with large production codebases.
  • Experience with relational database design.
  • Proficient SQL skills and comfort with complex joins.
  • Comfort working with ETL data pipelines that extract, transform, and load data into structured stores for analytics and reporting.
  • Comfort with version control, including Git, branching strategies, and code review.
  • Strong analytics skills, including exploratory data analysis, summarization, trend detection, anomaly and outlier identification, and applying appropriate metrics and statistical methods to engineering or business questions.
  • Proficiency in data visualization and storytelling, including communicating insights to technical and non-technical stakeholders.
  • Ability to obtain a DoD Secret clearance.
  • Ability to obtain and maintain SAP clearance.
  • U.S. citizenship is required for positions with a government clearance.

Nice To Haves

  • Experience designing and implementing ETL data pipelines that move raw-source data into structured datasets for analytics and reporting.
  • Experience with web development, especially the Django Framework.
  • Experience with modern business intelligence tools, especially Tableau.
  • Experience working with CI/CD pipelines and multiple environments (development, staging, and production), including virtual environments for local development.
  • Active DoD Secret or Top Secret clearance.
  • Active/current SAP clearance of any kind.

Responsibilities

  • Engage with technical and programmatic teams to understand their questions and problems, and translate them into clear data and analytical requirements.
  • Architect and develop modular, scalable data processing and analytics tools using established coding and version-control practices.
  • Assist in designing and implementing end-to-end data solutions, from data ingestion and parsing through relational data models, 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 analytical findings into clear, actionable insights for technical and non-technical stakeholders.

Benefits

  • Health insurance coverage.
  • Life and disability insurance.
  • Savings plan.
  • Company-paid holidays.
  • Paid time off for vacation and/or personal business.
  • Employees may be eligible for overtime, shift differential, and a discretionary bonus, depending on the position.
  • Relocation assistance may be available.
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