Lead Data Engineer, Decision Analytics (Secret)

Northrop Grumman

Roy (UT)

On-site

USD 168,000 - 252,000

Full time

2 days ago
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Benefits offered by this job

Relocation assistance may be available

Job summary

Northrop Grumman Defense Systems (NGDS) is seeking a Staff Data Engineer (T5) to serve as the Lead Engineer for the Decision Support & Analytics portfolio in our Roy, UT Innovation Center. This role focuses on the technical design and delivery of decision support systems and analytics products that speed and improve decision making for program and division leadership.

You will lead analytics pipelines, establish data modeling standards, mentor engineers, and collaborate with DE&I leads to

Qualifications

  • Bachelor's degree with 12+ years of relevant experience, or Master's with 10+ years, or PhD with 8+ years.
  • Experience designing analytics and decision support solutions delivering dashboards/reports.
  • Strong background in data integration, analytics pipelines, and applying ML/AI techniques.

Responsibilities

  • Lead the technical design and implementation of decision support and analytics solutions.
  • Design and oversee analytics pipelines and data models for dashboards and reports.
  • Establish standards for analytics data modeling, visualization, and performance optimization.

Skills

Data integration
Analytics pipelines
Technical leadership
Mentoring engineers
Dashboards & visualization
Statistical/ML techniques
US Citizenship with clearance

Education

Bachelor's degree + 12+ years
Master's degree + 10+ years
PhD + 8+ years
4 extra years exp in lieu of degree

Tools

Data Engineering & Intelligence platforms
Dashboards & Reports
Analytics services

Job description

Northrop Grumman Defense Systems (NGDS) is seeking a Staff Data Engineer (T5) to serve as the Lead Engineer for the Decision Support & Analytics portfolio in our Roy, UT Innovation Center. This role focuses on the technical design and delivery of decision support systems and analytics products that speed and improve decision making for program and division leadership.

You will lead analytics pipelines, establish data modeling standards, mentor engineers, and collaborate with DE&I leads to

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