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 10+ years of hands-on software engineering experience. A background in database internals or building core engine components for large scale data processing systems or information retrieval systems/search engines is required. Strong database fundamentals including SQL, performance, and multi-threading are essential. Candidates must possess strong computer science fundamentals including data structures, algorithms, and distributed systems. Systems programming skills including multi-threading and concurrency are necessary, along with fluency in C++ and/or Java. Experience working with text or semi-structured data such as JSON, XML, ORC, Avro, or Parquet is preferred. A BS in Computer Science or a related field is required; a Masters or PhD is preferred.
Responsibilities
The Senior Software Engineer will lead significant engineering efforts in the Database Search team. They will analyze and understand performance and scalability bottlenecks in the system and solve them. The engineer will develop innovative ideas, associate them with customer pain points, and drive long-term product impact. They will pinpoint problems, instrument relevant components as needed, and implement solutions. The role involves dealing with issues from logical representation of the execution plan to efficient resource management, and making key decisions on technical and business issues that impact others. Mentoring and coaching other engineers is also a key responsibility, along with exploring uncharted territory and staying informed about business trends and emerging technologies.
Skills
SQL
C++
Java
Data Structures
Algorithms
Distributed Systems
Multi-threading
Concurrency
Resource Management
JSON
XML
ORC
Avro
Parquet
Performance Optimization
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