Senior Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Cybersecurity, Enterprise SoftwareIndustries
Requirements
Candidates should have between 1 to 5 years of industry experience in designing, building, and supporting large-scale distributed systems in production, with recent experience in building large scale cloud services. A BS in Computer Science or a related degree is required. Strong development skills in Java, Python, and SQL are essential, along with strong fundamentals in computer science skills. Knowledge and experience in security, governance, privacy, and compliance areas is a plus but not required.
Responsibilities
The Software Engineer will work on highly impactful initiatives from idea formulation to design and implementation. They will innovate, design, and build highly available, reliable, and secure distributed services and solutions within the global Snowflake platform. The engineer will also ensure operational readiness of services, leading incident management and mitigation discussions, and meeting customer commitments for security, reliability, availability, and performance.
Skills
Java
Python
SQL
Distributed Systems
Cloud Services
Computer Science
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