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Data Engineer - Platform

at McKinsey & Company

Mid LevelNo visa sponsorshipData Engineering

Posted 14 hours ago

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Compensation: $176,000 – $179,500 USD
City: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC
Country: United States

Data Engineer - Platform role focusing on Python-driven data engineering, including data workflows, knowledge graphs, and generative AI. You will collaborate with software engineers, data scientists, UI/UX designers, and other technologists to build data ingestion pipelines and mature data processing capabilities for a GenAI platform, leveraging AWS infrastructure, Docker, and GitHub Actions CICD. The role includes customization and additional features to deploy this platform for Defense and other Government clients.

Technology & Digital

Data Engineer - Platform

Job ID: 106488

Boston
Chicago
New York City
San Francisco
Silicon Valley
Washington DC

+ 2 More

Apply Now Apply Later

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

As a Data Engineer with expertise in Python development, including data workflows, knowledge graphs, and/or generative AI, you will be working closely with software engineers, data scientists, UI/UX designers, and other technologists.

You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications. Work includes but is not limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containers.

Your role will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.

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, all while upholding our unwavering commitment to ethics and integrity. 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

3+ years of professional experience as a data engineer, with a strong focus on cloud-based data engineering; Previous enterprise platform experience preferred
Defense experience and experience working with data various classification levels required
Significant previous experience with Neo4j
Strong conceptual understanding of knowledge graphs
Experience with rules-driven propagation a plus
Experience with building and adapting complex data workflows
Expertise with Python development
US Citizenship required
SECRET Security Clearance Required; TS+ clearance preferred

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Industries

Aerospace & Defense

Capabilities

Technology

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 $176,000 - $179,500 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.

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Job Skill Group - N/A
Job Skill Code - GCYA - Senior Data Engineer I
Function - Technology
Industry - Aerospace & Defense
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Mar 02 00:00:00 GMT 2026
LinkedIn Posting City - Washington DC
LinkedIn Posting State/Province - District of Columbia
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Engineer - Platform
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Defense & Space
LinkedIn Seniority Level - Mid-Senior level

Your Impact

Your role will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.

Your Growth

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, all while upholding our unwavering commitment to ethics and integrity. 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

3+ years of professional experience as a data engineer, with a strong focus on cloud-based data engineering; Previous enterprise platform experience preferred
Defense experience and experience working with data various classification levels required
Significant previous experience with Neo4j
Strong conceptual understanding of knowledge graphs
Experience with rules-driven propagation a plus
Experience with building and adapting complex data workflows
Expertise with Python development
US Citizenship required
SECRET Security Clearance Required; TS+ clearance preferred