Senior Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates should have 14+ years of industry experience designing, building, and supporting large scale systems in production. A strong foundation in computer science fundamentals including data structures, algorithms, and distributed systems is required. Systems programming skills including multi-threading, concurrency, and caching are essential. Fluency in Java or another similar procedural object-oriented language is preferred. A Bachelor's degree in Computer Science is required, with a Master's or PhD preferred. Knowledge of database internals is a big plus.
Responsibilities
The Principal Software Engineer - Metadata will solve real business needs at large scale by applying software engineering and analytical problem-solving skills. They will create architecture and design, influence the product roadmap, and take ownership of new projects. The role includes designing, developing, and supporting a highly-parallel and fault-tolerant database system, as well as implementing core foundational features like transactions and metadata APIs. Additionally, the engineer will analyze and resolve performance and scalability bottlenecks and ensure operational readiness of services to meet customer commitments regarding availability and performance.
Skills
Java
Data Structures
Algorithms
Distributed Systems
Multi-threading
Concurrency
Caching
Database Internals
Database Systems
Metadata Management
Declarative Entity Management
Transactions
DDL/DML Logs
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