Data Engineer Intern
WurlSalary not specified
- Full Time
- Internship
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates must be actively enrolled in an accredited college or university program during the internship. A completed BS degree with an MS or PhD in progress is required. Desired majors include Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or a related field. Required coursework includes algorithms, data structures, and operating systems, with recommended coursework in database systems and cloud computing. Excellent programming skills in C++ or Java and strong problem-solving abilities are essential. Fluency in English, both oral and written, is required, along with experience working in a team and dedication to technology.
Responsibilities
The Software Engineer Intern will contribute to building enterprise-grade, reliable software and services. Interns will work on challenging projects, gain exposure to SQL and other database technologies, and collaborate with world-class experts. They will also receive detailed direction and feedback throughout the internship while being treated as a full member of the Snowflake engineering team.
Skills
Algorithms
Data Structures
Operating Systems
Database Systems
Distributed Systems
Cloud Computing
Compilers
Research
Geospatial
Geographic IS
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