Software Engineer, Data Transformation

Posted Yesterday
Be an Early Applicant
Berlin, DEU
Hybrid
Entry level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Design, build, and operate large-scale distributed data systems and real-time/batch data pipelines. Collaborate with product, infrastructure, and data science teams, contribute to architecture and roadmaps, and write clean, tested production-quality code.
Summary Generated by Built In

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

About the Role

We are looking for talented Software Engineers to join our Data Platform team. You will design, build, and operate large-scale distributed data systems that power Snowflake's core platform. This role is open to both new college graduates (MSc/PhD) and early career professionals.

What You'll Do
  • Design and implement scalable, high-throughput data processing systems

  • Build and maintain real-time and batch data pipelines

  • Collaborate cross-functionally with product, infrastructure, and data science teams

  • Contribute to architectural decisions and technical roadmaps

  • Write clean, tested, production-quality code at scale

What We're Looking For

Required:

  • BS/MS/PhD in Computer Science, Engineering, or related field (or equivalent experience)

  • Strong foundation in distributed systems, algorithms, and data structures

  • Proficiency in Java, Scala, Python, or C++

  • Experience with large-scale data systems or cloud platforms

Strongly Desirable:

  • Experience with Apache Flink and/or Apache Spark for stream or batch processing

  • Familiarity with AI-augmented software development practices — using LLMs/Copilot tools to accelerate engineering workflows, prototype solutions, and improve code quality

  • Experience with Kafka, data lakehouse architectures, or SQL engines

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Skills Required

  • BS/MS/PhD in Computer Science, Engineering, or related field (or equivalent experience)
  • Strong foundation in distributed systems, algorithms, and data structures
  • Proficiency in Java, Scala, Python, or C++
  • Experience with large-scale data systems or cloud platforms
  • Experience with Apache Flink and/or Apache Spark for stream or batch processing
  • Familiarity with AI-augmented software development practices (LLMs/Copilot)
  • Experience with Kafka, data lakehouse architectures, or SQL engines

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Equity Value & Accessibility Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
  • Fair & Transparent Compensation Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
  • Parental & Family Support Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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