Senior Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
Snowflake
Senior Software Engineer – Engineering Systems Continuous Integration Team
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, AI & Machine LearningIndustries
Requirements
Candidates should have a strong passion for making developers highly productive and at least 7 years of industry experience in designing and building distributed data systems. A track record of technical leadership is essential, along with experience in enterprise-grade Continuous Integration for cloud-based distributed systems. Excellent problem-solving skills and strong computer science fundamentals, including data structures, algorithms, and distributed systems, are required. Fluency in Java, C++, Python, or Go is necessary, as well as the ability to work in a team environment and mentor junior engineers. Candidates should possess a strategic mindset and excellent interpersonal communication skills, along with outstanding written and oral English language skills. On-site work at the San Mateo, CA office is required.
Responsibilities
The Senior Software Engineer will play a central role in setting the technical standard for and delivering the Continuous Integration service that powers Snowflake's repositories. They will collaborate with product managers to develop quarterly and long-term roadmaps for the team, ensuring that current customer needs are met while staying ahead of technological trends. The engineer will help evolve the developer infrastructure and tooling to be elastic, large-scale, and highly performant, while driving clarity on strategy and execution.
Skills
Java
C++
Python
Go
Data Structures
Algorithms
Distributed Systems
Continuous Integration
Cloud-based distributed systems
Problem-Solving
Team Collaboration
Mentoring
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