snowflake

Senior Software Engineer - Snowflake Feature Store

Listed by employer · Checked

Posted within 60 days ·

  • hybrid
  • FullTime
  • Engineering
  • US-WA-Bellevue
  • US-CA-Menlo Park
Work arrangement
hybrid
Employment
FullTime
Stated compensation
USD 200,000–287,500 1 YEAR
Stated sponsorship
Not stated
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Requirements

2 with evidence7 unclear or unstated
Remote policy
hybrid
“Provider workplace type: hybrid”
From employer posting metadata
Minimum experience (years)
8
“8+ years of experience in designing and building data serving infrastructure and/or machine learning platforms.”
See matched passage in original description ↓
Employment type
FullTime
Compensation
USD 200,000–287,500 1 YEAR
7 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Work authorization
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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. Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers. IN THIS ROLE AT SNOWFLAKE, YOU WILL:
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Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership Build and execute a vision for incorporating new advances in machine learning Ensure operational excellence of services and meet reliability, availability, and performance commitments Collaborate across ML partner teams to improve development velocity and capabilities Support team members in delivering high technical quality WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 8+ years of experience in designing and building data serving infrastructure and/or machine learning platforms. Strong operational experience managing PostgreSQL in production environments. Strong track record working with machine learning systems and platforms. Strong understanding of computer science fundamentals. B.Sc. in Computer Science Fluency in Java and Python Experience with feature engineering platforms and ML platforms 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
Original formatting and links

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.

Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers.

IN THIS ROLE AT SNOWFLAKE, YOU WILL:

  • Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership

  • Build and execute a vision for incorporating new advances in machine learning

  • Ensure operational excellence of services and meet reliability, availability, and performance commitments

  • Collaborate across ML partner teams to improve development velocity and capabilities

  • Support team members in delivering high technical quality

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:

  • 8+ years of experience in designing and building data serving infrastructure and/or machine learning platforms.

  • Strong operational experience managing PostgreSQL in production environments.

  • Strong track record working with machine learning systems and platforms.

  • Strong understanding of computer science fundamentals.

  • B.Sc. in Computer Science

  • Fluency in Java and Python

  • Experience with feature engineering platforms and ML platforms

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

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