New

Senior Data Engineer - US Department of Defense

McKinsey & Company
parental leave, paid time off
United States, D.C., Washington
Sep 10, 2025
Consulting Senior Data Engineer - US Department of Defense Job ID: 100401 Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place. 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 Growth 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 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 Please review the additional requirements regarding essential job functions of McKinsey colleagues. Apply Now Apply Later FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $195,300 - $199,200 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. Job Skill Group - N/A Job Skill Code - GCYB - Senior Data Engineer II Function - Technology Industry - Aerospace & Defense Post to LinkedIn - Yes Posted to LinkedIn Date - Wed Jul 23 00:00:00 GMT 2025 LinkedIn Posting City - Washington DC LinkedIn Posting State/Province - Maryland LinkedIn Posting Country - United States LinkedIn Job Title - Senior Data Engineer - US Department of Defense LinkedIn Function - Engineering LinkedIn Industry - Aviation & Aerospace;Defense & Space LinkedIn Seniority Level - Associate