Staff Data Scientist

Northrop Grumman

. Serve as a data engineering technical lead for the SDS Division Analytics team .

Posted 9/17/2026full-timeRoy • California • United StatesLead💰 $168,200 - $292,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including the development and maintenance of data pipelines, data governance, and quality frameworks. Proven ability to lead teams, mentor junior engineers, and collaborate with stakeholders to deliver analytics solutions.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT ProcessesPython ProgrammingAWS Cloud ServicesData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData AnalysisDatabase ManagementAPI DevelopmentContainerizationCI/CDData Quality FrameworksMetadata ManagementPipeline OrchestrationSystems Thinking

Soft Skills

MentorshipLeadershipCollaborationStrategic Decision-MakingCommunication

Tools & Technologies

SQLNeo4jTableauAWSDevOps

Industry Keywords

Data GovernanceData QualityAnalyticsData SourcesData Accessibility

Tech Stack

Tools & technologies

AWSCloudETLNeo4jPythonSQLTableau

About the role

Key responsibilities & impact

Serve as a data engineering technical lead for the SDS Division Analytics team
Develop, deploy, and maintain data pipelines from authoritative data sources for metrics and analytics
Collect, manage, and convert raw data into usable information for business analysts and division-wide accessibility
Oversee long-range goals and near-term objectives related to data engineering
Work with the Division Analytics Chief Data Engineer, frontend data visualization specialists, and product stakeholders
Provide mentorship and leadership to junior data engineers
Conduct code reviews
Champion engineering best practices
Support the Sentinel program

Requirements

What you’ll need

12 years professional experience with Bachelors in Science; 10 years with Masters; 8 years with PhD or an additional 4 years of related experience in lieu of degree
Must be a US citizen
Experience using programming languages and tools for data science and data engineering, such as Python, SQL, Neo4j, Tableau, and AWS
Experience developing, deploying, and maintaining production-quality data ETL/ELT pipelines from various sources using APIs, custom code, and other extraction methods
Experience handling structured and unstructured data and using database management systems
Experience with distributed cloud data storage structures, local databases, and other data storage forms
Experience with DevOps, including automated deployment (CI/CD) and management of containerization
Hands-on experience with pipeline orchestration concepts
Experience in data governance and quality, including establishing data quality frameworks, managing metadata, and implementing security and compliance protocols
Experience working with customers/stakeholders to gather, define, and deliver analytics requirements, often derived from ambiguous goals or objectives
Demonstrated systems thinking and ability to make strategic architectural decisions over quick fixes

Benefits

Comp & perks

Medical, Dental & Vision coverage
401k
Educational Assistance
Life Insurance
Employee Assistance Programs & Work/Life Solutions
Paid Time Off
Health & Wellness Resources
Employee Discounts
9/80 work schedule, with every other Friday off
Relocation assistance may be available
Competitive relocation assistance package may be offered
Overtime eligibility may apply
Shift differential may apply
Discretionary bonus eligibility
Company paid holidays
Disability insurance
Savings plan