Data Engineering Specialist - Source AI

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will drive day-to-day client implementation workstreams for Source AI deployments, including requirements tracking, issue management, data/input coordination, and execution follow-through. You will also support configuration of the product for each client context, including data setup, workflow configuration, output validation, and testing support. You’ll partner closely with the senior technical lead to troubleshoot deployment issues, maintain pace across short implementation cycles, and translate business needs into technical tasks. Your role will involve deploying the solution, configuring and testing, and keeping delivery moving across multiple workstreams. Our Source AI team uses generative AI to analyze vast amounts of data, identify patterns, and create actionable insights within Procurement. We help category managers unlock new levels of efficiency, innovation, and cost savings in their procurement and sourcing with an innovative and tailored solution.

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. 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 for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World‑class 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

SnowPro certification, or equivalent deep hands‑on Snowflake experience, is preferred 5+ years’ experience in data engineering, including Snowflake, SQL (ANSI / Snowflake dialect), Python, APIs, data pipelines, testing, and debugging, designing and maintaining end-to-end data pipelines using Snowflake and cloud storage such as Amazon S3. Procurement, sourcing, spend analytics, or operations domain familiarity is a plus Expertise with core Snowflake capabilities such as Warehouses, Snowpipe, Streams, Tasks, and Secure Views Experience configuring and deploying analytics, data, or AI-enabled products in client environments, ideally with complex data and workflow requirements Ability to define scalable implementation patterns across clients while balancing customization with reuse Strong problem‑solving across data quality, integration, workflow, and operational reliability issues Working knowledge of solution architecture, SDLC, secure and reliable deployment practices, and quality assurance Ability to lead and mentor engineers and external workers in fast‑paced delivery settings Experience with CI/CD for data platforms (for example GitHub Actions), performance optimization, and migration from legacy environments to modern cloud data platforms is preferred Experience with semi‑structured data formats such as JSON, Avro, and Parquet, and with secure integration to BI tools and downstream applications Knowledge of data governance and compliance requirements, including PII handling, GDPR, HIPAA, and data quality controls such as validation and anomaly detection Strong client communication skills with both technical and non‑technical stakeholders 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. Certain U.S. jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. To help you understand what you can expect, the salary range for new joiners in this role in the United States, including all office locations where the job may be performed, is $140,000 - $144,200 USD gross per year. This reflects our best estimate of the lowest to highest salary 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. #J-18808-Ljbffr McKinsey & Company, Inc.