採用
Required Skills
Python
Java
Distributed Systems
Database Systems
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Let’s build the future of secure data collaboration together!
The Data Clean Rooms Applications team builds services and applications that empower secure multi-party collaboration on sensitive data while strictly preserving its privacy. Customers can seamlessly combine and analyze data from different parties using an agentic interface, our easy-to-use UI, or programmatically via developer APIs. With these APIs, a technical audience can build custom applications, customize complex analysis templates, train advanced AI/ML models, and leverage proprietary models, all while maintaining absolute privacy guarantees.
You will join a fast-paced, collaborative team of engineers on a journey to provide customers with an integrated set of innovative, AI-enabled capabilities to analyze data in a privacy-preserving way. You will have a real opportunity to impact and shape the future of secure data collaboration at Snowflake.
AS A SENIOR SOFTWARE ENGINEER IN DATA CLEAN ROOMS, YOU WILL:
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Architect and build highly scalable infrastructure that enables secure, multi-party collaboration.
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Design and implement core clean room features and services, intelligent agents, and robust developer APIs to expand platform capabilities and support custom AI/ML workflows.
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Partner closely with Product Management and cross-functional teams to drive complex projects from ideation and system design through to production deployment.
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Mentor peers and foster a warm, supportive culture of innovation, cross-team collaboration, and technical excellence.
OUR IDEAL CANDIDATE WILL HAVE MOST OF THE FOLLOWING QUALIFICATIONS:
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8+ years of industry experience designing, building, and supporting large-scale distributed systems in production.
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Expert-level development skills in Python, Java, or similar languages.
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Deep understanding of database systems, cloud data platforms, or distributed storage architectures.
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Experience with data privacy, privacy-preserving analytics, and deploying AI/ML solutions (experience building or integrating AI agents is a plus).
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Strong computer science fundamentals.
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BS/MS in Computer Science or related majors, or equivalent experience.
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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About Snowflake

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
Employees
Zürich
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Positive performance reviews and raises
Opportunities to learn new technical skills
Career advancement with promotion
Cons
Role demotion after acquisition
Poor communication regarding promotions
Administrative inefficiencies with title updates
Salary Ranges
3,987 data points
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
277 reports
$252,858
total / year
Base
$171,306
Stock
$57,741
Bonus
$23,811
$190,229
$354,557
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 88%
Negative 12%
Interview Process
1
Application Review
2
Resume Screening
3
Initial Phone Screen
4
Technical Phone Screen
5
Technical Coding Round
6
Offer Discussion
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
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