Software Engineer, Data Transformation
Software Engineer · Mid · Full Time
Opens Snowflake's application page
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 haveExperience with Apache Flink or Apache Spark for advanced data processing
AI Engineering
Nice to haveFamiliarity with AI-augmented software development practices and LLM tools
Data Architectures
Nice to haveKnowledge of Kafka, data lakehouse architectures, and SQL engines
Tech stack
Languages
Frameworks
Databases
Tools
Other
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.
- 01
Initial Screening
Phone or video call with recruiting team to assess basic qualifications and cultural fit
- 02
Technical Assessment
Online coding challenge focusing on distributed systems, algorithms, and data structures
- 03
Technical Interviews
Multiple rounds of in-depth technical interviews with engineering team members
- 04
System Design Interview
Comprehensive interview evaluating candidate's ability to design scalable distributed systems
- 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
Redirects to Snowflake's application page.
Other roles
More at Snowflake.
Senior Software Engineer - NatSec
Senior
Principal Software Engineer - Semantic Views
Principal
Principal Software Engineer
Principal
Tech Lead Manager - SUT Team
Lead
Software Engineer - SnowCommand
Mid