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
AI & Machine Learning, Data & Analytics, Enterprise Software, Robotics & AutomationIndustries
Requirements
Candidates must have over 5 years of experience in designing and building scalable, distributed systems. Strong programming skills in Java, Scala, or C++ are essential, with a focus on performance and reliability. A deep understanding of distributed transaction processing is required.
Responsibilities
As a Senior Software Engineer on the Open Source Analytics team, you will pioneer innovative technical capabilities in the Open Source Analytics community. You will design and implement features for Apache Iceberg and Apache Polaris, focusing on scalability, performance, and usability. Collaboration with the open-source community is expected, including contributing code and reviewing pull requests. You will architect systems that integrate open source technologies with Snowflake, and work on data access control and governance features for Apache Polaris. Additionally, you will build tooling to automate data lake table maintenance for enhanced query performance.
Skills
Java
Scala
C++
Distributed Systems
Scalability
Reliability
Distributed Transaction Processing
Apache Iceberg
Apache Polaris
Interoperable Table Formats
Data Catalogs
File Formats
Query Engines
Iceberg DML/DDL transactions
Schema Evolution
Partitioning
Time Travel
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