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Senior Data Engineer - Life Sciences.AI

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: McKinsey & Company, Inc.
Full Time position
Listed on 2026-09-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 176000 - 179500 USD Yearly USD 176000.00 179500.00 YEAR
Job Description & How to Apply Below

You'll be on the global Life Sciences AI team, fully integrated with Quantum Black, AI by McKinsey, as a senior software engineer, building AI that transforms Pharma and Med Tech.

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 partner with global teams to design, deliver, and deploy differentiated advanced analytics and agentic solutions that address high-value commercial use cases across the Life Sciences sector. You will help transform standalone pilots into integrated, production-ready systems that reshape end-to-end commercial workflows and drive meaningful impact for patients. You will design and manage scalable data pipelines and secure analytics platforms, lead technical initiatives, and mentor team members while contributing to innovative R&D projects.

Collaborating with diverse Agile teams, you’ll leverage cutting-edge technologies to create impactful solutions that support McKinsey’s asset-based consulting model and help clients harness the full potential of their data. You will own the technical platform for advanced analytics solutions, designing and building scalable, modular, and reproducible data pipelines for machine learning and full-stack agentic applications. You will manage secure data environments, map data fields to hypotheses, and prepare data for advanced models and agentic reasoning.

Additionally, you will lead technical work streams, mentor junior colleagues, and contribute to R&D projects and internal asset development. Your work will have a real-world impact by building technology assets for internal and external clients; you will help organizations address critical challenges and support McKinsey’s shift toward asset-based consulting. Your contributions will enable scalable, repeatable solutions that deliver lasting value. You will work in Agile teams alongside data scientists, machine learning engineers, and industry experts to develop impactful analytics solutions that help clients unlock the full potential of their data.

You’ll have the freedom to innovate and grow. You’ll work with leading technologies, collaborate with diverse teams, and partner with top talent in design, technology, and business. Your work offers a unique opportunity to gain a holistic perspective on AI and data engineering while driving innovation. You’ll be working in one of our North American offices in our Life Sciences practice.

You will help revolutionize how Pharma and Med Tech companies connect with their customers to improve human lives. You will be working in a team that is fully integrated with Quantum Black, AI by McKinsey. There is flexibility to hire at the Senior Data Engineer I/II or Principal Data Engineer I/II level, depending on your experience.

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:

  • Continuous learning:Our learning and…
Position Requirements
10+ Years work experience
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