Data Engineer – Google Cloud Platform (GCP)

Posted 7 Days Ago
Be an Early Applicant
5 Locations
In-Office
Mid level
Cloud • Information Technology • Consulting
The Role
Design and maintain ETL/ELT pipelines on Google Cloud Platform, optimize data processing workflows, and collaborate with stakeholders to develop data solutions.
Summary Generated by Built In

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

We are looking for a Data Engineer to join Kyndryl’s Applications, Data & AI (ADAI) practice, supporting the implementation of modern cloud-native data platforms on Google Cloud Platform (GCP).

The ideal candidate is passionate about building scalable and reliable data pipelines, enabling analytics and AI use cases, and delivering high-quality data solutions in enterprise environments.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.

• Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data.

• Develop and maintain data models supporting analytics, reporting, and AI initiatives.

• Implement data quality validation, monitoring, and governance controls.

• Collaborate with architects and business stakeholders to translate requirements into technical solutions.

• Support orchestration, automation, and operationalization of data pipelines.


Who You Are

Required Experience:

• 3+ years of experience as a Data Engineer or similar role.

• Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.

• Strong SQL and Python programming skills.

• Experience developing ETL/ELT pipelines and distributed data processing solutions. • Knowledge of data warehousing concepts and dimensional modeling.

• Spanish and English fluid level.

Preferred Technical Skills:

• Experience with dbt, Spark, Kafka, Terraform, or Docker.

• Familiarity with streaming architectures and event-driven integration patterns.

• Exposure to analytics and BI tools such as Looker or Power BI.

• Knowledge of AI/ML data pipelines and MLOps concepts is a plus.

Soft Skills • Strong analytical thinking and attention to detail.

• Collaborative and team-oriented mindset.


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

  • 3+ years of experience as a Data Engineer or similar role
  • Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc
  • Strong SQL and Python programming skills
  • Experience developing ETL/ELT pipelines and distributed data processing solutions
  • Knowledge of data warehousing concepts and dimensional modeling
  • Spanish and English fluid level
  • Experience with dbt, Spark, Kafka, Terraform, or Docker
  • Familiarity with streaming architectures and event-driven integration patterns
  • Exposure to analytics and BI tools such as Looker or Power BI
  • Knowledge of AI/ML data pipelines and MLOps concepts

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: New York City, NY
46,070 Employees
Year Founded: 2021

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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