Senior Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates should have over 5 years of industry experience in designing, building, and supporting large-scale systems in production. Strong computer science fundamentals, including data structures, algorithms, and distributed systems, are essential. Proficiency in systems programming, including multi-threading, concurrency, and caching, is required, along with fluency in Java or a similar procedural object-oriented language.
Responsibilities
As a Senior Software Engineer - Metadata, you will solve real business needs at large scale by applying your software engineering and analytical problem-solving skills. You will build the next-generation transaction system and multi-tenant database system, design and develop a highly-parallel and fault-tolerant database system, and implement critical high-performance systems. Additionally, you will analyze and resolve performance and scalability bottlenecks, ensure operational readiness of services, and work on various background services that support Snowflake's proprietary multi-level metadata system.
Skills
Java
Data Structures
Algorithms
Distributed Systems
Multi-threading
Concurrency
Caching
SQL
Systems Programming
Snowflake
Data management and analytics platform
About Snowflake
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 by providing a flexible subscription-based service that scales according to their needs.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees