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McKinsey & Company

Data Engineer - Social, Healthcare and Public Entities Tech

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Job Description

Who You'll Work With

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 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 Impact

As a Data Engineer, you will support the development, maintenance, and enhancement of data pipelines and workflows that power analytics and AI-driven solutions for social, healthcare, and public sector clients.

You will be part of the SHaPE Tech team be based in our Gurugram or Bengaluru office in India as part of the Social, Healthcare and Public Entities (SHaPE) practice. You will collaborate with our SHaPE analytics teams in other technology hubs in the US, Europe, India, and Costa Rica.

In this role, you will work under the guidance of senior engineers to build and maintain data pipelines and ETL workflows that are reliable, scalable, and efficient. You will work with structured and unstructured data using tools such as Python, SQL, and distributed data platforms, and contribute to the development of data models, transformations, and data quality checks. Your work will help ensure that data is accurate, well-structured, and ready for downstream analytics and AI use cases.

You will contribute to testing, debugging, and monitoring data workflows to ensure smooth and reliable data delivery. You will participate in code reviews, follow engineering best practices, and help document data processes, pipelines, and workflows to support maintainability and knowledge sharing across teams.

You will collaborate closely with data engineers, data scientists, and consulting teams to deliver high-quality data solutions that support analytics and AI-driven insights. You will also assist in the integration of data solutions into broader analytical and machine learning use cases, gaining exposure to emerging technologies such as LLM-based workflows and modern data platforms.

Our SHaPE Tech organization leverages big-data analytics platforms which includes 100 terabytes of integrated claim, encounter, clinical, consumer and other data. The team consists of 100 dedicated experts and 250 affiliated professionals with industry, advanced analytics, statistics, clinical and software expertise, all of whom work to design, deliver and operate advanced analytic tools to help social, public and healthcare clients around the world.

McKinsey's SHaPE fosters innovation through advanced analytics, user-centered design, predictive forecasting, and new product development. We are a community of entrepreneurs within McKinsey, using technology to drive meaningful client impact. Through self-service analytics, software-as-a-service solutions, strategic acquisitions, and a strong ecosystem of alliances, we are redefining what it means to work with McKinsey.

Your Qualifications and Skills

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 2+ years of experience in data engineering, software engineering, or a related role
  • Proficiency in Python and SQL with a basic understanding of data structures and algorithms
  • Understanding of data processing frameworks (e.g., Pandas, PySpark, Spark), ETL/ELT pipelines, and data warehousing concepts
  • Familiarity with Git/version control systems
  • Exposure to cloud platforms (AWS, Azure, or GCP) and distributed data platforms such as Databricks or similar tools (preferred)
  • Basic understanding of CI/CD concepts, APIs, and data integration techniques
  • Knowledge of statistical data analysis using R is a plus
  • Strong problem-solving skills and a willingness to learn in a fast-paced environment
  • Interest in AI/ML or LLM-based applications, with exposure to applying data engineering in social, healthcare, or public sector domains

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About Company

Job ID: 146397277