New

Cloud Infrastructure Engineer II - Data Operations

McKinsey & Company
parental leave, paid time off
United States, Georgia, Atlanta
Jan 20, 2026
Technology & Digital Cloud Infrastructure Engineer II - Data Operations Job ID: 104787 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 Operations Engineer, you will design, develop, optimize, and maintain data architecture and pipelines, partner with solution architects, transform raw data into compelling data models, and build processes supporting data modeling, ingestion, transformation, and qualitative analysis. Additionally, you will lead the evaluation, implementation, and deployment of tools and processes to improve our operations, ensuring compliance with data governance and security policies. Your work will help expand and optimize our data and data pipeline architecture, ensuring optimal data delivery and consistency during engagements. You will be based in the USA as part of our Secure Foundation Cloud Services team, which manages McKinsey's global IT infrastructure and applications, providing "Data Operation and Engineering" services for McKinsey's business operations. The team is distributed globally across three time zones (India, USA, Costa Rica). Your Growth You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. 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. 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 Please review the additional requirements regarding essential job functions of McKinsey colleagues. Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve. Apply Now Apply Later 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. Job Skill Group - CSSA 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