Software Engineer, Data Transformation

Software Engineer · Mid · Full Time

DE-Berlin-Trion BuildingEUR 120k – 180k1mo ago
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Role

What you'll do.

Snowflake is seeking a Software Engineer for their Data Platform team to design and implement scalable, high-throughput data processing systems. The role focuses on building complex data pipelines, collaborating across teams, and contributing to technical architecture while embracing an AI-native approach to problem-solving.

Responsibilities

  • Data Systems Design: Design and implement scalable, high-throughput distributed data processing systems for Snowflake's core platform
  • Data Pipeline Development: Build and maintain both real-time and batch data pipelines with high performance and reliability
  • Cross-Functional Collaboration: Collaborate effectively with product, infrastructure, and data science teams to drive technical initiatives
  • Technical Architecture: Contribute to architectural decisions and help shape the technical roadmap of the data platform
  • Code Quality: Write clean, well-tested, production-quality code that meets high scalability standards

Qualifications

What we look for.

Technical

  • Programming Languages

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

  • Distributed Systems

    Strong understanding of distributed systems architecture, algorithms, and data structures

  • Cloud Platforms

    Experience with large-scale data systems and cloud computing platforms

Education

  • Academic Background

    BS, MS, or PhD in Computer Science, Engineering, or related technical field

Experience

  • Data Processing

    Demonstrated experience in building complex data processing systems

Skills

Required

  • Distributed Systems

    Deep understanding of distributed computing principles and large-scale system design

  • Programming

    Strong coding skills in one or more of Java, Scala, Python, or C++

Preferred

  • Stream Processing

    Nice to have

    Experience with Apache Flink or Apache Spark for advanced data processing

  • AI Engineering

    Nice to have

    Familiarity with AI-augmented software development practices and LLM tools

  • Data Architectures

    Nice to have

    Knowledge of Kafka, data lakehouse architectures, and SQL engines

Tech stack

Languages

JavaScalaPythonC++

Frameworks

Apache SparkApache Flink

Databases

SnowflakeKafka

Tools

GitHub CopilotDockerKubernetes

Other

AI Development Tools

Compensation

Pay and benefits.

Base·EUR 120,000 – 180,000

Equity·Stock options

Benefits

  • Innovative Work Culture

    Opportunity to work with cutting-edge AI and data technologies

  • Professional Growth

    Dynamic environment that encourages continuous learning and innovation

Process

Interview steps.

  1. 01

    Initial Screening

    Phone or video call with recruiting team to assess basic qualifications and cultural fit

  2. 02

    Technical Assessment

    Online coding challenge focusing on distributed systems, algorithms, and data structures

  3. 03

    Technical Interviews

    Multiple rounds of in-depth technical interviews with engineering team members

  4. 04

    System Design Interview

    Comprehensive interview evaluating candidate's ability to design scalable distributed systems

  5. 05

    Final Interview

    Meeting with team leadership to discuss role alignment and overall fit

Full posting

Original listing.

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

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