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.
The Role
As an AI Data Engineer at Kyndryl, you will serve as the architect behind the high-performance data infrastructure that powers our autonomous systems. Rather than simply moving tables, you will build the real-time, scalable data pipelines that enable agentic AI to reason over the world’s most complex enterprise environments.
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 required to help define what comes next in enterprise AI data infrastructure.
Key Responsibilities
- Pipeline Design & Engineering: Design, develop, and maintain high-performance, scalable ETL/ELT data pipelines using core Microsoft Azure services for both structured and unstructured data.
- System Integration: Implement robust data integration solutions across multi-source enterprise environments, utilizing REST APIs, Azure Event Hubs, and Azure Functions.
- Architecture & Optimization: Build reusable data frameworks, establish coding standards, and continuously optimize data processing workflows for maximum performance and cost efficiency.
- Data Governance & Security: Enforce data quality, security, compliance, and governance protocols across all data assets while managing secure access via Azure Key Vault and Microsoft Entra ID.
- Operations & CI/CD: Monitor, troubleshoot, and maintain Azure-based data pipelines, implementing CI/CD pipelines and maintaining comprehensive system documentation.
- Cross-Functional Collaboration: Partner with cross-functional technical teams to support downstream analytics, reporting, and advanced machine learning initiatives.
- Programming Core: Strong proficiency in SQL and Python, PySpark expertise, and a solid understanding of data modeling principles. Basic working knowledge of Java is preferred.
- Azure Expertise: Demonstrated hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Blob Storage, Azure Analytics, Azure SQL Database, Azure Monitor, Azure Key Vault, and Microsoft Entra ID.
- Big Data & Integration: Deep familiarity with Apache Spark, Databricks, event-driven architecture (Azure Event Hubs), serverless computing (Azure Functions), and API integrations.
Your future at Kyndryl
This role opens the door to many career paths, both vertical and horizontal, and there may be opportunity to travel. It’s a great chance for database administrators or other techs to break into the cloud. It’s also a solid path to become enterprise or chief architect or a distinguished engineer! Whatever you see for yourself, you’ll find the opportunity here.
Who You Are
You’re good
What you do and possess the required experience to prove 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 their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Qualifications
- Experience: 6–8+ years of core Data Engineering experience, with at least 3+ years of dedicated, hands-on experience building enterprise-scale solutions using Microsoft Azure data services.
- Core Technical Skills: Strong proficiency in Python, SQL, and PySpark.
- Data Engineering Mastery: Proven track record in designing, building, and optimizing enterprise-scale ETL/ELT pipelines and processing frameworks.
- Data Architecture: Solid understanding of data modeling principles, concepts, and relational database structures.
- Cloud & Platform Infrastructure: Practical experience across core Azure technologies, including Azure Data Factory (ADF), Azure Databricks, Azure Blob Storage, Azure SQL Database, and Azure Analytics.
Preferred Skills
- Advanced Azure & Governance: Familiarity with Azure Monitor, Azure Key Vault, Microsoft Entra ID, and cloud data security/compliance best practices.
- Big Data & Serverless Integration: Experience working with Apache Spark, Azure Event Hubs, Azure Functions, and REST API integrations for real-time and event-driven architectures.
- Programming: Basic working knowledge of Java alongside core Python/SQL expertise.
Being You
The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.
What You Can Expect
Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.
From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.
Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
Skills Required
- 6-8+ years of experience in Data Engineering
- Minimum 3+ years hands-on experience with Microsoft Azure data services
- Strong proficiency in SQL
- Strong proficiency in Python
- Experience building enterprise-scale ETL/ELT solutions
- Solid understanding of data modeling principles
- Experience with Azure Data Factory (ADF)
- Experience with Azure Databricks
- Experience with Azure SQL Database
- Experience with Azure Blob Storage
- Experience with Azure Key Vault
- Experience with Azure Monitor
- Experience with Microsoft Entra ID
- Experience with PySpark and Apache Spark
- Experience integrating via REST APIs
- Experience with Event Hubs and Azure Functions
- Experience implementing CI/CD pipelines
- Basic knowledge of Java
Kyndryl Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.
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Fair & Transparent Compensation — Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
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Leave & Time Off Breadth — Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
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Wellbeing & Lifestyle Benefits — Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.
Kyndryl Insights
What We Do
We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.

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