Senior Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & CompanySenior Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & CompanyLocation
New Jersey, NJ, New York City, NY, Washington, DC
Type
Full-time
Posted
11/6/2026
Compensation
$175,500 - $180,000 per year
Job description
In this role, you will serve as a technical owner, leading the design and implementation of scalable data architectures for AI systems. You will work within a global Data Engineering community, collaborating with Data Scientists and Machine Learning Engineers to deliver impactful AI solutions. Your focus will be on developing robust data pipelines and mentoring junior colleagues while addressing complex business challenges. This position offers opportunities for continuous learning and growth as a leader in the field of AI and data engineering.
Requirements
- Degree in Computer Science/Engineering or equivalent experience
- 5+ years of relevant professional experience in a data engineering role
- Expert-level proficiency in Python and SQL
- Strong experience building Agentic AI, Generative AI, and Machine Learning systems
- Deep knowledge of MLOps/LLMOps including CI/CD for data workflows
- Exceptional time management and ability to own technical workstreams autonomously
- Strong communication skills, both verbal and written, in English
Responsibilities
- Design and lead the implementation of scalable data architectures for AI systems
- Develop robust data pipelines and manage secure data environments
- Mentor junior colleagues and collaborate with cross-functional teams
- Integrate machine learning and Generative AI capabilities into client solutions
- Spearhead the design of complex feature engineering workstreams
- Lead the implementation of AI features end to end with sound judgment
- Implement robust data security and governance controls
Benefits
- Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.
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