Company details

San Mateo, CA

HEADCOUNT

3000-9999

ORG TYPE

Corporate

SECTOR

Technology & Digital

WEBSITE

https://www.snowflake.com/en/

About the company

Snowflake builds a cloud data platform used for data warehousing, data engineering, analytics, and AI workloads. The company sells the Snowflake Data Cloud to organisations that want to centralise data and run workloads across major cloud providers. Customers include large enterprises as well as smaller teams building data products and applications. Snowflake is a public company with a globally distributed workforce.

Locations and presence

Snowflake operates across dozens of countries and lists offices in hubs such as Menlo Park, Bellevue, Toronto, Berlin, Warsaw, Amsterdam, and Pune. Snowflake reports a globally distributed workforce where most personnel work from physical offices, while also providing work-from-home setup support.

Palpable Score

72.9

/ 100

Snowflake offers clear early-career entry points through internships and a dedicated early-career engineering matching pathway, and Snowflake also publishes a practical hiring-process outline with expected timelines for engineering roles. Pay transparency is solid for internships, including public hourly ranges and common benefits coverage. The biggest limiter is outcomes data: Snowflake does not publish internship conversion rates or early-career retention and promotion outcomes, and public reviews suggest return offers can depend heavily on team headcount.

Pillar 1: Early-career access

Score

16.5

/ 20

The company runs a dedicated University Recruiting hub that positions internships as real-project roles rather than shadowing or admin work.

Snowflake advertises the General Software Engineering (GenSWE) match program specifically for early-career engineers, with team matching based on interview signal and preferences.

The company uses an “introduce yourself” talent community sign-up aimed at upcoming intern and recent college graduate openings, which supports repeatable early-career hiring rather than one-off postings.

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Pillar 2: Hiring fairness and transparency

Score

14.0

/ 20

The company publishes a “How we hire” page that sets out common steps such as phone screen(s) and onsite or video interview(s), plus a note that some candidates first speak with a future manager.

Snowflake gives engineering candidates a concrete expectation on timing by stating the engineering recruitment process has four stages and can take two to four weeks.

The company’s internship FAQ content says technical roles start with a coding assessment followed by technical interviews, but Snowflake does not publish a consistent, role-by-role breakdown of what each stage contains or what feedback candidates should expect.

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Pillar 3: Learning and support

Score

14.5

/ 20

The company frames internship work as a “training ground” on real projects and highlights mentorship and networking as part of the student experience.

Snowflake lists ongoing internal learning touchpoints such as weekly lunch-and-learns, along with employee wellness support that can matter during the first year when people are still building routines.

The company includes role-level training signals in internship listings that describe what interns will learn and the types of systems they will work with, but Snowflake shares limited public detail on onboarding structure for new graduates outside engineering.

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Pillar 4: Pay fairness and stability

Score

15.5

/ 20

The company publishes hourly pay ranges for internships in external listings, including engineering internship ranges in the mid-$40s to mid-$50s per hour.

Snowflake also shows pay transparency in internship postings on the company careers site, with some campus roles displaying an estimated hourly range in the posting preview.

The company’s internship listings and benefits materials describe standard coverage such as health benefits and employee assistance support, but Snowflake does not consistently publish salary ranges for early-career full-time roles in a way that’s easy to find without opening individual requisitions.

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Pillar 5: Early-career outcomes

Score

12.4

/ 20

The company has public intern feedback that points to strong intern programming and events, while also noting that return offers can be team-dependent based on headcount rather than a central conversion pool.

Snowflake positions GenSWE as a team-matching pathway intended to place early-career engineers into teams where skills and preferences align, which can reduce early churn caused by poor fit.

The company does not publish internship conversion rates, retention figures, or typical time-to-promotion for early-career cohorts, which makes it hard to verify long-term outcomes beyond scattered reviews.

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