McKinsey & Company
Senior Data Engineer - US Department of Defense
McKinsey & Company, Washington, District of Columbia, us, 20022
Senior Data Engineer - US Department of Defense
Join to apply for the
Senior Data Engineer - US Department of Defense
role at
McKinsey & Company Senior Data Engineer - US Department of Defense
2 days ago Be among the first 25 applicants Join to apply for the
Senior Data Engineer - US Department of Defense
role at
McKinsey & Company Get AI-powered advice on this job and more exclusive features. Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your Impact
Our U.S. Social Sector, Healthcare, and Public Sector Entities (SHaPE) practice delivers high-impact services to clients across three major sectors, including federal, state, and local governments. Within SHaPE, the Defense and Security subsector focuses on the U.S. Department of Defense (DoD), including the Office of the Secretary of Defense, major defense agencies, and military services, as well as members of the National Security Community.
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.
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more! Experience with event streaming and real-time data processing frameworks (ex. Apache Kafka, Kinesis) is desirable for high velocity data integration.
Your Qualifications and Skills
Active TS/SCI clearance (or SCI-eligbility), ideally with past or current DoD SAP/SAR access Advanced degree in a quantitative field like computer science, machine learning, applied statistics or mathematics; or equivalent experience 7-8 years of relevant experience; familiarity with aerospace and defense program and/or mission data preferred Ability to write clean, maintainable, scalable, and robust code in an object-oriented language Proven experience building data pipelines in production for advanced analytics use cases. Experience working across structured, semi-structured, and unstructured data Extensive experience with graph data structures, common graph databases (e.g., Neo4j, Janus), and query languages (e.g., Cypher, Gremlin) Demonstrated ability to apply graph analytics in modeling complex system relationships and workflows Extensive experience designing or integrating models that represent complex, time-dependent workflows or processes, including capturing interdependencies and conditional logic. Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps would be considered a plus Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries Experience with event streaming or real-time data processing to support analysis of high velocity, sequential data flows Proven ability to align data engineering approaches with large-scale interconnected systems, while engineering solutions to remain adaptable under changing conditions
Seniority level
Seniority level Associate Employment type
Employment type Full-time Job function
Industries Aviation and Aerospace Component Manufacturing and Defense and Space Manufacturing Referrals increase your chances of interviewing at McKinsey & Company by 2x Sign in to set job alerts for “Senior Data Engineer” roles.
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Join to apply for the
Senior Data Engineer - US Department of Defense
role at
McKinsey & Company Senior Data Engineer - US Department of Defense
2 days ago Be among the first 25 applicants Join to apply for the
Senior Data Engineer - US Department of Defense
role at
McKinsey & Company Get AI-powered advice on this job and more exclusive features. Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your Impact
Our U.S. Social Sector, Healthcare, and Public Sector Entities (SHaPE) practice delivers high-impact services to clients across three major sectors, including federal, state, and local governments. Within SHaPE, the Defense and Security subsector focuses on the U.S. Department of Defense (DoD), including the Office of the Secretary of Defense, major defense agencies, and military services, as well as members of the National Security Community.
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.
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more! Experience with event streaming and real-time data processing frameworks (ex. Apache Kafka, Kinesis) is desirable for high velocity data integration.
Your Qualifications and Skills
Active TS/SCI clearance (or SCI-eligbility), ideally with past or current DoD SAP/SAR access Advanced degree in a quantitative field like computer science, machine learning, applied statistics or mathematics; or equivalent experience 7-8 years of relevant experience; familiarity with aerospace and defense program and/or mission data preferred Ability to write clean, maintainable, scalable, and robust code in an object-oriented language Proven experience building data pipelines in production for advanced analytics use cases. Experience working across structured, semi-structured, and unstructured data Extensive experience with graph data structures, common graph databases (e.g., Neo4j, Janus), and query languages (e.g., Cypher, Gremlin) Demonstrated ability to apply graph analytics in modeling complex system relationships and workflows Extensive experience designing or integrating models that represent complex, time-dependent workflows or processes, including capturing interdependencies and conditional logic. Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps would be considered a plus Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries Experience with event streaming or real-time data processing to support analysis of high velocity, sequential data flows Proven ability to align data engineering approaches with large-scale interconnected systems, while engineering solutions to remain adaptable under changing conditions
Seniority level
Seniority level Associate Employment type
Employment type Full-time Job function
Industries Aviation and Aerospace Component Manufacturing and Defense and Space Manufacturing Referrals increase your chances of interviewing at McKinsey & Company by 2x Sign in to set job alerts for “Senior Data Engineer” roles.
Immediate W2 Job Opening || Senior Data Engineer || onsite in McLean, VA or Richmond, VA || USC or GC or H4EAD or L2 or TN or OPTEAD
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Senior Data Mining and Analytics Engineer (Security Clearance Required) - Remote work - Local DC Metro or FL
Arlington, VA $107,936.00-$183,491.00 1 week ago Herndon, VA $49,996.80-$290,004.00 5 days ago Senior Data Analyst (TRICARE Encounter Data)
Senior Analyst, Loan & Data Administration
District of Columbia, United States $85,000.00-$95,000.00 1 week ago Washington, DC $85,100.00-$222,600.00 6 days ago Senior Security Engineer, Identity and Access Management, AWS Identity Security
McLean, VA $56,800.00-$87,400.00 4 days ago Sterling, VA $130,355.00-$221,603.00 2 weeks ago Senior Compliance Data Analyst, NAST S&C DAS
Arlington, VA $42,000.00-$79,800.00 4 days ago Senior Compliance Data Analyst, NAST S&C DAS
Arlington, VA $42,000.00-$79,800.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr