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 :
You will work on critical business initiatives in the core database engine, bringing an AI-first approach to software development to accelerate roadmap cycles and deliver greater customer impact.
Your work will directly impact how developers and businesses build with data. You'll own features end-to-end while applying AI-native engineering practices across design, implementation, evaluation, deployment, measurement, and optimization.
You will thrive here if you are comfortable working in a fast-moving environment with short feedback loops, ambiguity, and a high bar for execution. We value people who take problems through completion, going beyond prototypes to deliver reliable, observable solutions with measurable outcomes.
AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:
Own features end-to-end for Snowflake Database Engineering products, from design and implementation through testing, deployment, and production operations.
Design and build reliable, scalable systems for complex database and data platform workloads, with a focus on performance, correctness, and operability.
Lead the adoption of modern AI-driven development practices, using coding agents, automated verification, and continuous benchmarking to build higher-quality software at speed.
Partner with product and infrastructure teams to translate customer and engineering problems into robust product capabilities and production-ready systems.
Work with a highly experienced team of engineers to build and evolve core Snowflake products.
OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher degree preferred, but not required.
2+ years of software engineering experience building and operating complex production systems.
Solid distributed systems fundamentals, with exposure to areas such as distributed execution, storage systems, concurrency, fault tolerance, performance optimization, or large-scale data processing.
Strong hands-on experience with AI coding agents, including advanced use across the software development lifecycle and strong intuition for model strengths, failure modes, and limitations.
Proficiency in one or more programming languages such as C++, Java, Go, Rust or Python.
Strong communication skills and ability to collaborate effectively across engineering and product teams.
Preferred Qualifications
Power user of modern coding agents who goes beyond adoption by systematically measuring their effectiveness, identifying failure modes, and improving their use in engineering workflows.
Familiarity with database internals, including query languages, compilation, query optimization or execution, semantic layers, or large-scale storage and retrieval systems.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
- Bachelor's degree in Computer Science, Engineering, Statistics or a related field
- 5+ years of experience shipping AI features in production
- Proficiency in programming languages such as Python, Typescript, Go
- Strong communication skills
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.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
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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