Cloud Infrastructure Engineer II - Data Operations
McKinsey & Company
Cloud Infrastructure Engineer II - Data Operations
Job ID: 104787
Your Impact
Your Growth
- 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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- Exceptional 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 industry experience with Data Operations and Engineering best practices.
- Experience in building and optimizing Data Engineering pipeline, architectures and data sets
- Extensive working experience with backend programing languages like SQL & Python
- Proficiency working with data systems such as Snowflake & Databricks etc. is desired
- Familiarity with both relational & non-relational database systems
- Working knowledge of CI/CD tools such as Jenkins, Github Actions, JFrog, SonarQube etc
- Experience working cloud platforms (AWS, Azure, GCP, etc)
- Knowledge to use visualization tools such as Tableau, Domo, Power BI, etc
- Demonstrate understanding of AI technologies, their applications, and ethical considerations in business contexts. This includes the ability to work with AI tools, interpret AI outputs, and ensure responsible AI use in decision-making processes
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 $108,200 - $141,800 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 Code - SSTE - Cloud Infrastructure Engineer II
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jan 19 00:00:00 GMT 2026
LinkedIn Posting City - Atlanta
LinkedIn Posting State/Province - Georgia
LinkedIn Posting Country - United States
LinkedIn Job Title - Cloud Infrastructure Engineer II - Data Operations
LinkedIn Function - Information Technology
LinkedIn Industry - Computer Networking;Computer Software
LinkedIn Seniority Level - Mid-Senior level