Digital
Data Engineer II - McKinsey Digital
Job ID : 103414
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 II, you will play a pivotal role in designing, building, and optimizing modern data architectures that power cutting-edge Agentic and AI-driven solutions. Your work will unlock the full potential of data across industries, enabling teams to operate, innovate, and excel at the level of leading technology companies. Our technology, data, and AI practice areas include Strategy & Performance, Talent & Operating Model, Technology Modernization, and Data Transformation. Leveraging McKinsey's structured DRIVE framework, the Data Acceleration Lab, and an ecosystem of over 50 proprietary assets, you will help deliver rapid, impactful, and large-scale data transformations, turning data into a strategic business asset for our clients. While part of a global, multinational organization, our teams are diverse and small, operating with the agility and culture of a startup to deliver tailored solutions quickly and effectively. Our office culture is casual, fun, and social, with a strong emphasis on continuous learning and innovation. You'll have the freedom to experiment with new ideas, be creative, and grow your expertise. You will design and build high-quality data products that drive scalable data platforms and power advanced AI and agentic systems. Working closely with our engineering, product, and technology teams, you will play a key role in accelerating impact. Additionally, you will contribute to enhancing McKinsey's data transformation assets, accelerators, and reference architectures. Here's how you might contribute in a given year : You will design, develop, and maintain scalable and efficient data pipelines to support modern data architecture and AI-driven solutions that demand real-time or streaming data. Collaborating with senior engineers to implement and optimize Agentic GenAI capabilities within data workflows and data products (e.g., Embedding, Prompt and Context engineering, RAG). You will secure data storage, retrieve, and process data to ensure data privacy and controls (e.g., Role-based access, Encryption options). You will also analyze and optimize data storage, retrieve, and process (i.e., batch and real-time) to ensure high performance and reliability. You will address complex data challenges, including data integration, transformation, and quality assurance, using modern AI and GenAI-powered tools. You will collaborate with some of the best technical (e.g., data scientists, software engineers, ML engineers) and business talent (e.g., domain experts) in an Agile team setting to align data engineering efforts with business and technical goals. You will adhere to data engineering best practices, including coding standards, data governance, and security protocols. You will maintain clear and comprehensive documentation for data pipelines, workflows, and data architecture.
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 :
Your qualifications and skills
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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 $146,600 - $150,000 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 - DSAD - Data Engineer II
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Nov 14 00 : 00 : 00 GMT 2025
LinkedIn Posting City - New York
LinkedIn Posting State / Province - New York
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Engineer II - McKinsey Digital
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services
LinkedIn Seniority Level - Entry level
Data Engineer Ii • Los Angeles, CA, United States