Full-Time

Senior Software Engineer

Query Execution

Confirmed live in the last 24 hours

Snowflake

Snowflake

5,001-10,000 employees

Data management and analytics platform

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior

Bellevue, WA, USA

Category
Backend Engineering
Software Engineering
Required Skills
CockroachDB
Data Science
Apache Spark
SQL
Java
Redis
C/C++
Oracle
Data Analysis
Cassandra
Requirements
  • 5+ years hands-on software engineering experience
  • Significant background in database query processing engine or building core components for large-scale data processing systems (e.g. Oracle, Hekaton, Photon, Dremio, Spark, Presto, StarRocks, Doris etc.)
  • Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in C++, C, or Java preferred)
  • Expertise in systems fundamentals including multi-threading, concurrency, IO subsystems, scheduling and modern hardware architectures
  • Strong database fundamentals including SQL, performance, and schema design
  • Strong communication, and collaboration skills
  • Experience with one or more of the following highly desired: Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.)
  • Scalable Distributed Data storage and processing systems such as FoundationDB, RocksDB/LevelDB, CockroachDB, TiDB, PolarDB, OceanBase, Redis, Cassandra, etc.
  • Intense curiosity, willingness to question, and passion for solving hard technical problems and making systems better
  • Experience designing, building, and operating large-scale distributed systems or web services
  • Track record of identifying and implementing creative solutions and delivering highly complex projects in the distributed systems space
  • BS in Computer Science; Masters or PhD Preferred
Responsibilities
  • Identify and implement novel query execution, transaction management, or distributed data processing algorithms which allow Snowflake to deliver industry-leading cloud database systems
  • Build the next-generation transaction system, data formats, storage engine and multi-tenant database system
  • 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, develop, and support a highly-parallel and fault-tolerant database system comprising many technologies
  • Deal with issues from logical representation of the execution plan to efficient resource management, all the way down to highly specialized vectorized execution
  • Evaluate and determine priorities with a critical understanding of where performance matters most
  • Design and implement critical high-performance systems to handle the ever growing request rate of our database
  • Own the end to end delivery of your projects, from identifying a solution, to design, implementation, testing and safe production rollout
  • Evangelize best practices in database usage and end-to-end architecture

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making and strategic insights, using a subscription-based model that charges clients based on their actual usage of storage and computing resources.

Company Stage

IPO

Total Funding

$1.3B

Headquarters

Bellevue, Washington

Founded

2012

Growth & Insights
Headcount

6 month growth

8%

1 year growth

17%

2 year growth

42%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Datavolo enhances Snowflake's rapid data integration capabilities.
  • Investment in Metaplane improves data reliability, optimizing AI applications.
  • Snowflake's strategic investment in Hex empowers non-technical users with no-code data tools.

What critics are saying

  • Integration challenges from Datavolo acquisition could disrupt operations.
  • Increased competition from Mistral AI may challenge Snowflake's market position.
  • Convertible senior notes pricing could increase financial pressure on Snowflake.

What makes Snowflake unique

  • Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.
  • The AI Data Cloud enables seamless data mobilization across multiple public clouds.
  • Snowflake's subscription model aligns costs with client usage, enhancing affordability.

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Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.