채용
Required Skills
Python
SQL
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.
The Cortex team is leveraging coding agents to accelerate user workflows. Our mission is to build autonomous, agentic systems that augment and automate complex coding, migration, and testing workflows.
Your work will directly impact the speed at which the world’s largest companies modernize their data stacks. You will work within a high-powered team of engineers and scientists. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization.
WHAT YOU WILL DO:
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Build Agentic Systems: Build sophisticated agents and tools for migrating SQL and ETL pipelines from legacy systems for customers adopting snowflake.
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Quality Improvements: Create "golden sets" and rubrics to measure the accuracy of AI-driven processes across various workflows. "Hillclimb" on metrics to optimize agentic systems.
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Scale Automated Coding: Scale automated coding agents to reduce human effort by 90%.
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Design & Execute Evals: Collaborate with FDE and Product: Partner with Forward Deployed Engineers (FDEs) and other product teams to translate real-world challenges into automated product features, ensuring a rapid feedback loop for tooling improvements.
REQUIREMENTS:
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Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
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Experience: 1-5 years of software engineering experience, with a strong interest or project experience in shipping AI/ML features or LLM-based applications.
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Technical Proficiency: Strong programming skills in Python and experience with SQL (Snowflake, SQL Server, Oracle, or Teradata experience is a plus).
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AI Fundamentals: Familiarity with AI engineering and agentic workflows.
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Communication: Strong communication skills and ability to collaborate effectively in a team environment.
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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