Platform Data Engineer - US Defense Public Sector
McKinsey & Company · Boston, United States +6 · 2d ago
Mid levelOn-siteData & Analytics$176k – $180k
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, 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.
What you'll do
You will work with a cross-functional team that includes senior firm leaders, CST leaders, practice leaders and cutting-edge engineers.
Your team is led by some of our firm’s most senior leaders and is scaling to a large team of full-stack engineers, data engineers, data scientists, and designers.
You will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.
Your expertise in Python development, including data workflows, knowledge graphs, and/or generative AI will serve you well. You would be working closely with software engineers, data scientists, UI/UX designers, and other technologists.
Your work would include but won't be limited to creation of the python code, tests, creation and modification of CI/CD pipelines, working with multiple cloud infrastructures (AWS, Azure, GCP) and docker containers.
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 multiple cloud infrastructures and docker containers.
Your background
- US Citizenship required
- Defense experience and experience working with data at various classification levels required
- SECRET Security Clearance Required; TS+ clearance preferred
- 3+ years of professional experience as a data engineer, with a strong focus on cloud-based data engineering using AWS services; other clouds (Azure, GCP) a plus
- Previous enterprise platform experience preferred
- Significant previous experience with Neo4j and strong understanding of knowledge graphs, as well as strong experience with relational databases
- Practicing high coding standards with clean code, modularity, error handling, testing automation and more
- Hands-on experience with Docker
- Solid and demonstrable background in data pipeline performance and diagnostics
- Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges
- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment