Data & AnalyticsHybrid

Software Engineer, Data Transformation

Snowflake · Hybrid

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Last seen by MeritLog September 9, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Snowflake's Ashby job board and last checked it on September 9, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: Not listed by source
Location: DE-Berlin-Trion Building
Occupation: Software Developers(O*NET 15-1252.00)
Company website: app.snowflake.com

Hiring context

How this role compares at Snowflake

Snowflake has 369 live roles in MeritLog’s catalog across 10 job families, and 84 of them are in data & analytics. 251 of those listings publish a pay range, a disclosure rate of 68%.

Snowflake concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What they're asking for

BS/MS/PhD in Computer Science or related field - graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiatorEducation
Deep distributed systems fundamentals: fault tolerance, consistency, state managementSkill
Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or similar)Skill
Proficiency in Java, Scala, C++, or PythonSkill
Familiarity with AI-native software engineering and agentic development workflowsSkill
Published research or thesis in streaming, real-time transformation, or distributed computationSkillPreferred
Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar.SkillPreferred
Experience with SQL engine internals: query optimization, execution plan design, storage formats, or transaction layersSkillPreferred
Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)SkillPreferred
Familiarity with formal verificationSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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. We're hiring Software Engineers for our Data Platform team to build and evolve Snowflake's real-time stream processing and data transformation platform. If you've built or researched high-throughput streaming systems or scalable transformation engines - in industry or graduate work - we want to talk. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: - Design and implement low-latency stream processing and in-flight data transformation systems at global scale - Own correctness and performance of streaming execution (watermarks, exactly-once delivery, out-of-order handling) - Build transformation primitives and operators that run reliably at cloud-scale throughput - Contribute to architectural decisions for our next-generation streaming and transformation platform - Write production-quality systems code and collaborate across product and engineering teams OUR IDEAL CANDIDATE WILL HAVE: - BS/MS/PhD in Computer Science or related field - graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiator - Deep distributed systems fundamentals: fault tolerance, consistency, state management - Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or similar) - Proficiency in Java, Scala, C++, or Python - Familiarity with AI-native software engineering and agentic development workflows BONUS POINTS FOR: - Published research or thesis in streaming, real-time transformation, or distributed computation - Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar. - Experience with SQL engine internals: query optimization, execution plan design, storage formats, or transaction layers - Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD) - Familiarity with formal verification 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 http://careers.snowflake.com

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