Data Engineer

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

Your role As an AI Data Engineer at Kyndryl, you’ll be the architect behind the high-performance data infrastructure that powers our autonomous systems. We aren't just moving tables; we’re building the real-time pipelines that allow agentic AI to reason over the world’s most complex enterprise environments. Join Kyndryl and gain the trust, autonomy and teamwork to help define what comes next.

• Architect for RAG:
  You’ll design and scale the pipelines for Retrieval-Augmented Generation (RAG), transforming massive volumes of unstructured IT logs and documentation into optimized Vector Embeddings.
• Scale vector infrastructure:
  You will be responsible for the health and performance of our vector databases (e.g., Pinecone, Milvus, or Weaviate), ensuring sub-second retrieval speeds for agentic reasoning loops.
• Engineer semantic layers:
  Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles.
• Automate data excellence:
  Using a keen eye for detail, you’ll build automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model, ensuring our AI remains safe and impactful.
• Solve meaningful challenges:
  Serve as the bridge between raw, messy data sources and deep technical AI work, identifying and resolving quality issues at the source.
• Progress to production:
  With a well-defined methodology and software engineering prowess, you will build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.

Why Kyndryl:
We’re a purpose-driven company committed to innovation and empowering our people. Here, your work contributes to meaningful outcomes for clients and communities. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands‑on experience, learning opportunities, and the chance to certify in all four major platforms.

Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. You’re good at what you do and possess the required experience to provide it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer‑focused – someone who prioritizes customer success in your work.

And finally, you’re open and borderless – naturally inclusive in how you work with others.

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

• Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
• Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
• Experience with both relational and No
  
  SQL databases, PostgreSQL, DB2, MongoDB
• Excellent problem-solving, analytical, and critical thinking skills
• Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
• Ability to communicate with both technical and non-technical colleagues, to derive and…