Eventualcomputing
SQL Dialect Engineer
Eventualcomputing, San Francisco, California, United States, 94199
About Eventual
Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI.OUR PRODUCT IS OPEN-SOURCE AND USED AT ENTERPRISE SCALE
Our distributed data engine
Daft
is open-sourced and runs on 800k CPU cores daily. This is more compute than Frontier, the world's largest supercomputer!Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms.Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads.Key Responsibilities:
Build out core capabilities for Daft’s SQL parser and query optimizer.Flesh out DDL and DML operations for Daft SQL.Build a first-class user experience for SQL including error messages, syntax highlighting, autocompletion, documentation and guides.Architect core components of the Daft query engine to work with advanced SQL concepts such as correlated subqueries, self-joins and more.Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field.Experience working with SQL parsing and query planning.Familiarity with data warehousing concepts and ETL tools.Understanding of database design principles and best practices.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Benefits and Remote Work
We are believers in both having the flexibility of remote work but also the importance of in-person work, especially at the earliest stages of a startup. We have a flexible hybrid approach to in-person work with at least 3 days of in-person work typically from Monday - Wednesday at our office in San Francisco.We believe in providing employees with best-in-class compensation and benefits including meal allowances, comprehensive health coverage including medical, dental, vision and more.About the interview
INTRODUCTORY CALL [15M]
A short phone screen over video call with one of our co-founders for us to get acquainted, understand your aspirations and evaluate if there is a good fit in terms of the type of role you are looking for.TECHNICAL PHONE SCREEN [1 HR]
A technical phone screen question over video call to understand your technical abilities.TECHNICAL INTERVIEW PANEL [4 HR]
Technical interviews with the rest of the Eventual team with questions to further understand your technical strengths, weaknesses and experiences.MEET THE TEAM
As many chats as necessary to get to know us - come have a coffee with our co-founders and existing team members to understand who we are and our goals, motivations and ambitions.We look forward to meeting you!
#J-18808-Ljbffr
Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI.OUR PRODUCT IS OPEN-SOURCE AND USED AT ENTERPRISE SCALE
Our distributed data engine
Daft
is open-sourced and runs on 800k CPU cores daily. This is more compute than Frontier, the world's largest supercomputer!Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms.Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads.Key Responsibilities:
Build out core capabilities for Daft’s SQL parser and query optimizer.Flesh out DDL and DML operations for Daft SQL.Build a first-class user experience for SQL including error messages, syntax highlighting, autocompletion, documentation and guides.Architect core components of the Daft query engine to work with advanced SQL concepts such as correlated subqueries, self-joins and more.Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field.Experience working with SQL parsing and query planning.Familiarity with data warehousing concepts and ETL tools.Understanding of database design principles and best practices.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Benefits and Remote Work
We are believers in both having the flexibility of remote work but also the importance of in-person work, especially at the earliest stages of a startup. We have a flexible hybrid approach to in-person work with at least 3 days of in-person work typically from Monday - Wednesday at our office in San Francisco.We believe in providing employees with best-in-class compensation and benefits including meal allowances, comprehensive health coverage including medical, dental, vision and more.About the interview
INTRODUCTORY CALL [15M]
A short phone screen over video call with one of our co-founders for us to get acquainted, understand your aspirations and evaluate if there is a good fit in terms of the type of role you are looking for.TECHNICAL PHONE SCREEN [1 HR]
A technical phone screen question over video call to understand your technical abilities.TECHNICAL INTERVIEW PANEL [4 HR]
Technical interviews with the rest of the Eventual team with questions to further understand your technical strengths, weaknesses and experiences.MEET THE TEAM
As many chats as necessary to get to know us - come have a coffee with our co-founders and existing team members to understand who we are and our goals, motivations and ambitions.We look forward to meeting you!
#J-18808-Ljbffr