Senior Software Engineer, Snowflake

Snowpark

$195-287.5k

+ Bonus plan + Equity plan

Python

Java

C++

Senior and Expert level

San Francisco Bay Area

3-5 days a week in office ( Menlo Park, CA)

Snowflake's AI Data Cloud helps customers share data, build apps and power their business with AI.

Open for applications

Snowflake's AI Data Cloud helps customers share data, build apps and power their business with AI.

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Open for applications

$195-287.5k

+ Bonus plan + Equity plan

Python

Java

C++

Senior and Expert level

San Francisco Bay Area

3-5 days a week in office ( Menlo Park, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

Passion to learn new things and grow and an enthusiasm to get things done are key to success on this team
6+ years of experience building complex distributed systems
Be a team player - help others, be respectful with each other, and do your part to make the work day fun and impactful
Experience with one of the following is required:
Working on a database or data warehouse
Working on a scalable and distributed system in public or private clouds
A good understanding of the Python ecosystem for building AI/ML and/or Data Engineering pipelines
We mainly write code in C++ and Java, but expertise is not a prerequisite

What the job involves

Snowpark unleashes the power of Snowflake for Data Engineers, Data Scientists, and Developers. Snowpark is an interface to Snowflake in different language environments, but also a platform that customers and partners build exciting applications on
And that’s not all - Snowpark is also used by various teams at Snowflake to build new products and features for customers
Be part of the story of development of an industry leading platform for execution of AI/ML and Data Engineering code that works seamlessly with the Snowflake’s data cloud
Work across functions and across teams - we don’t only work on code that we own, we work with other parts of Snowflake every day
Learn about and contribute to query engine internals, code execution environments, performance debugging, building highly scalable and maintainable systems, and much more
Snowpark is still in an early stage of development - it is an amazing opportunity for outsized impact on our customers and Snowflake’s growth story
Our team culture is a priority - transparency, knowledge sharing, fun events, and helping each other are all part of our work environment
This is also a great opportunity to work with and learn from some of the most skilled engineers in the industry
Design and develop features, understand customer requirements and meet business goals
Build highly reliable software to meet the needs of the largest customers
Enhance the programmability surface of Snowflake and improve the experience of the data developer
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them
Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

Comprehensive health insurance plans
Health savings accounts
Robust retirement plans
Life and disability insurance
Weekly online lunch and learns
Virtual workout classes
Ergonomic work-from-home equipment
On-demand mental health and wellness programs
Fertility benefits and family planning resources
Generous time-off and various leave plans
Onsite and Remote Work
Employee discounts and pre-tax selections
New hire equity + Employee Stock Purchase Plan (ESPP)
Quarterly bonus or commission program

Company HQ

Bozeman, MT

Leadership

Benoit Dageville

(Co-Founder)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

Sridhar Ramaswamy

(Chief Executive Officer)

Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.

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