Platform Data Engineer - US Defense Public Sector

McKinsey & Company

Boston (MA)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package
Continuous learning opportunities
Global community of 65+ countries

Job summary

McKinsey & Company is looking for a Data Engineer in Boston, MA to develop and optimise data ingestion pipelines for the Government Defense platform. The role includes creating CI/CD pipelines with a strong focus on AWS services and requires a SECRET Security Clearance.

You will collaborate with a multidisciplinary team and benefit from mentorship, competitive salary, and comprehensive benefits including medical and retirement programs.

Qualifications

  • 3+ years of professional experience as a data engineer with a strong focus on AWS services.
  • Experience working with classified data and obtaining a SECRET Security Clearance.
  • Excellent coding standards and hands-on experience with Docker.

Responsibilities

  • Develop and maintain Python code, tests, and CI/CD pipelines for the Government Defense platform.
  • Collaborate closely with software engineers, data scientists, and UI/UX designers.
  • Design, develop, and optimise data ingestion pipelines for GenAI applications.

Skills

Cloud-based data engineering using AWS
Data pipeline performance
Neo4j and knowledge graphs
Docker
Problem-solving skills
Collaboration skills

Job description

Locations
  • Boston
  • Chicago
  • New York City
  • San Francisco
  • Silicon Valley
  • Washington DC
Role Overview

You will work with a cross‑functional team that includes senior firm leaders, practice leaders, C‑suite 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.

Key Responsibilities
  • Develop and maintain Python code, tests, and CI/CD pipelines for the Government Defense platform.
  • Create and modify GitHub Actions CICD pipelines and work with multiple cloud infrastructures (AWS, Azure, GCP) and Docker containers.
  • Design, develop, and optimise data ingestion pipelines and data processing capabilities for GenAI applications.
  • Collaborate closely with software engineers, data scientists, UI/UX designers and other technologists.
Growth & Benefits

In return for your drive, determination, and curiosity, we provide the resources, mentorship and opportunities you need to become a stronger leader faster than you ever thought possible. Your growth will include continuous learning, a voice that matters, a global community of 65+ countries, and world‑class benefits. You will receive a competitive salary (based on your location, experience and skills) and a comprehensive benefits package that includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave, family‑planning benefits, caregiving resources, a generous retirement contributions program, financial guidance and paid time off.

Qualifications and Skills
  • 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 strong focus on cloud‑based data engineering using AWS services; other clouds (Azure, GCP) a plus.
  • Previous enterprise platform experience preferred.
  • Significant experience with Neo4j and strong understanding of knowledge graphs, as well as strong experience with relational databases.
  • High coding standards with clean code, modularity, error handling, testing automation and more.
  • Hands‑on experience with Docker.
  • Solid background in data pipeline performance and diagnostics.
  • Excellent problem‑solving skills and the ability to analyse and resolve complex data engineering challenges.
  • Strong communication and collaboration skills; ability to work effectively in a cross‑functional team environment.
Equal Opportunity

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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.

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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