Software Engineer, Snowflake

Database Engineering

$157-230k

+ Bonus plan + Equity plan

SQL

Java

Linux

Postgres

Cassandra

C++

Hadoop

MySQL

Spark

Junior and Mid level

San Francisco Bay Area

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

AI Data Cloud for data sharing and app building

Open for applications

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Open for applications

$157-230k

+ Bonus plan + Equity plan

SQL

Java

Linux

Postgres

Cassandra

C++

Hadoop

MySQL

Spark

Junior and Mid 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

2+ years industry experience working on commercial or open-source software
Fluency in Java or C++
Familiarity with development in a Linux environment
Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems
Systems programming skills including multi-threading, concurrency, etc
Experience with implementation testing, debugging and documentation
Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering or related field; Masters or PhD preferred

Desirable

SQL or other database technologies including internal design and implementation
Query optimization, query execution, compiler design and implementation
Experience with internals of distributed key value stores like FoundationDB and storage engines like RocksDB, InnoDB, BerkeleyDB etc
Experience with MySQL, PostgreSQL internals
Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark
Large scale distributed systems, transactions and consistency models
Experience in database replication technology
Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, etc

What the job involves

We’re hiring talented Software Engineers to join the Snowflake Database Engineering team! In this role you will work directly with our team to evolve our elastic, large scale, high-performance data processing system
We need smart engineers who can pick up and understand complex technical areas quickly – and who are enthusiastic about building new technologies!
Design, develop, and support a petabyte-scale cloud database that is highly parallel and fault-tolerant
Build high-quality and highly reliable software to meet the needs of some of the largest companies on the planet
Analyze and understand performance and scalability bottlenecks in the system and solve them
Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions
Design and implement novel query optimization or distributed data processing algorithms which allow Snowflake to provide industry leading data warehousing capabilities
Design and implement the new service architecture required to enable the Snowflake Data Cloud
Develop tools for improving our customers' insights into their workloads

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

Insights

Top investors

37% employee growth in 12 months

Glassdoor (3.9)

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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