Data Engineer

About this role

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role 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.

What you will do Orchestrate Intelligence •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.

Master Data Transformation •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.

Own the Backbone •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.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of  vaccination  to align with their respective COVID-19  vaccination  policies.  Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

Who You Are 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. Required skills and experience

•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 NoSQL 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 translate technical requirements from business needs

Preferred skills and experience

•Experience working as a Data Engineer and/or in cloud modernization •Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes •Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization •Cloud platform certification, e.g. AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate •Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio •Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology

The compensation range for the position in the U.S. is -

$63,360 to $114,120based on a full-time schedule.   Your actual compensation may vary depending on your geography, job-related skills and experience.  For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement.

There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area): $76,080 to $137,040 California (All Other): $69,720 to $125,640 Colorado: $63,360 to $114,120 Massachusetts $63,360 to $125,640 New York City: $76,080 to $137,040 Washington: $69,720 to $125,640 Washington DC:$69,720 to $

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