McKinsey & Company ยท 5 days ago
Senior Software Engineer - US Department of Defense
McKinsey & Company is seeking a Senior Software Engineer to work within their U.S. Social Sector, Healthcare, and Public Sector Entities practice, focusing on the U.S. Department of Defense. The role involves designing and developing core data frameworks to drive meaningful mission outcomes, collaborating with cross-functional teams, and leveraging various technologies to innovate and support defense and security initiatives.
ConsultingManagement ConsultingProfessional Services
Responsibilities
You will work with our defense and security teams on some of their toughest issues, in a fast-paced, non-hierarchical, and caring environment
You will be part of our global data engineering community and work in cross-functional Agile project teams alongside data scientists, machine learning engineers, other data engineers, project managers, and industry experts to innovate alongside clients and CSTs to develop new or existing assets
By leveraging engineering frameworks and best practices, you will design and develop core data frameworks to drive meaningful mission outcomes for our clients by enabling software capabilities used by data engineers, data scientists, consulting teams and external clients
You will help to shift our model toward asset-based consulting and build a foundation for the expansion of our investment into our entrepreneurial culture
Qualification
Required
Active TS/SCI clearance(or SCI-eligibility), ideally with past or current DoD SAP/SAR access
Advanced degree in a quantitative field(e.g., computer science, machine learning, applied statistics, or mathematics) or equivalent experience, with 7-8 years of relevant experience
Proven experience with graph databases and analytics, including Neo4j, Gremlin, or similar tools, and query languages like Cypher or Gremlin
Strong programming skills in modern languagessuch as Python, Java, Node.js, or Go, with expertise in writing clean, maintainable, and scalable code
Experience building and integrating web application back ends and contributing to front-end development when needed
Extensive experience with data engineering and pipelines, including ETL, data quality, and working across structured, semi-structured, and unstructured data
Practical knowledge of software engineering best practices, including DevOps, DataOps, MLOps, containerization (e.g., Docker), and orchestration
Experience with distributed computing frameworks and cloud platforms, with a focus on deploying enterprise applications in cloud environments
Strong testing skills, including unit testing, integration/API testing, and ensuring robust, scalable solutions
Experience with NoSQL databases and working with graph-related problems, including the use of GenAI/ML techniques like GraphRAG
Proven ability to align data engineering approaches with large-scale interconnected systems, ensuring adaptability and scalability
Interest or experience in running simulations in Python and applying advanced analytics to solve complex problems
Preferred
Familiarity with aerospace and defense programand/or mission data is preferred
Experience with FastAPI, Pandas, and React + TypeScript is a plus
Familiarity with event streaming, real-time data processing, and high-velocity sequential data flows
Benefits
World-class benefits
Comprehensive benefits package
Company
McKinsey & Company
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions.
Funding
Current Stage
Late StageRecent News
2025-12-29
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