Software Engineer, Data Transformation

Snowflake

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 hiring a Senior Software Engineer for our Data Platform team - the team that owns the core streaming execution and database internals powering Snowflake's platform. You'll work deep in the stack: stream processing runtimes, query execution engines, storage layers, and the distributed systems primitive that everything else is built on. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: * Design and implement high-throughput stream processing systems with strong correctness guarantees - exactly-once semantics, out-of-order event handling, low-latency execution * Work on database internals - query execution, operator design, storage engine components, or transaction processing at cloud scale * Own features and systems end-to-end: design, implementation, testing, deployment, and production observability * Drive architectural decisions that shape the long-term evolution of Snowflake's streaming and core platform layers * Mentor engineers through design reviews, code reviews, and technical guidance * Partner across product, infrastructure, and research teams to deliver high-impact, foundational capabilities OUR IDEAL CANDIDATE WILL HAVE: * 5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database internals (or equivalent, including research) * BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator * Deep expertise in distributed systems: consistency, fault tolerance, replication, state management * Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic) * Proficiency across multiple languages such asJava, Scala, C++, and Python, with a track record of production systems at scale * Proficiency with AI-native software engineering and agentic development workflows Ability to lead complex technical projects independently with minimal direction BONUS POINTS FOR: * 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 * Published research or thesis work in streaming, real-time query processing, or distributed computation * Contributions to open-source data infrastructure or database systems * 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

Snowflake

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. As a Principal Engineer on the Data Platform team, you will be a technical anchor — setting direction, solving the hardest engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and real-world engineering execution. In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations. WHAT YOU'LL DO * Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing. * Lead design reviews and set engineering standards across teams. * Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale. * Mentor and grow senior engineers; raise the engineering bar. * Partner closely with product and infrastructure leadership on roadmap and direction. * Continuous hands-on technical deliverables in the most critical areas. WHAT WE'RE LOOKING FOR * 14+ years of software engineering experience with deep expertise in distributed systems. * Demonstrated track record of defining and delivering platform-scale technical initiatives. * Expert-level knowledge of streaming and/or batch data systems (Flink, Spark, or equivalent), with specialized knowledge in incremental materialization algorithms. * Strong systems thinking — ability to reason across layers of complexity (infra, storage, compute, API). * A passion for engaging directly with customers to gain insight and inspiration * Experience influencing technical direction across organizations * Excellent written and verbal communication for technical and executive audiences. DESIRABLE * Experience with AI-augmented development practices and integrating LLM-based tooling into engineering workflows. * Familiarity with Snowflake platform internals or cloud-native data systems. * Experience with metadata systems, query optimization, or data catalog infrastructure. * Contributions to open source, such as top-level Apache projects 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

Snowflake

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. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake. WHAT WE OFFER : * Paid, full-time internships in the heart of the software industry * Post-internship career opportunities (full-time and/or additional internships) * Exposure to a fast-paced, yet fun, startup culture * A chance to work with world-class experts on challenging projects * Opportunity to provide meaningful contributions to a real system used by customers * High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation * Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more * Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more * Embraced as a full member of the diverse Snowflake engineering team WHAT WE EXPECT : * Must be actively enrolled in an accredited college/university program during the time of the internship * Required: A completed BS degree, with an MS or PhD in progress * Desired Majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field * Required coursework: algorithms, data structures, and operating systems * Recommended coursework: Database systems, distributed systems, Geospatial/Geographic IS, cloud computing, compilers, * Bonus experience: Research or publications in databases or distributed systems, experience with geo features processing, and contributions to open source. * Experience working with big data (engineering / processing) and data migration * Duration: 4 month minimum, 6 months recommended, up to 12 months supported, start date flexible * Target start dates: February 2026 and onward * Excellent programming skills in C++ or Java * Knowledge of data structures and algorithms * Strong problem solving and ability to learn quickly in a dynamic environment * Fluent English language skills (oral and written) * Experience with working as a part of a team * Dedication and passion for technology * Systems programming skills including multi-threading, concurrency, etc. WHAT YOU WILL LEARN/GAIN : * How to build enterprise grade, reliable, and trustworthy software/services * Exposure to SQL and/or other database technologies (e.g., Spark, Hadoop) * Understanding of database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design * Implementation, testing of features in query compilation, compiler design, query execution * Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular * Learning about cutting edge database technology and research POSSIBLE TEAMS/WORK FOCUS AREA : * Execution platform (XP), Search Optimization (SO), SQL Features (Geo, Collations) * Database engineering, service runtime, streaming (data pipelines), metadata, Streamlit and cloud engineering teams. * High performance large-scale data processing * Large-scale distributed systems * Query compilation and optimization * Software-as-a-Service platform * Software frameworks for stability and performance testing 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