Senior Data Infrastructure Engineer, Query Engine

About the Role

Join an early-stage AI infrastructure team building a query engine that connects graph-native queries with enterprise data. You will develop the coordinator, compiler, and executor components that enable reliable reasoning and aggregation across multiple data sources.

What You'll Do

• Design and extend compiler and executor components to support new query language features and functions.

• Build and optimize graph-native query capabilities across multiple data sources.

• Develop pass-through query logic for platforms such as Snowflake, Databricks, and Oracle.

• Work with the platform team to improve performance, reliability, and scalability.

• Debug and resolve complex query execution issues in production environments.

What We're Looking For

• At least 5 years of experience in data infrastructure, query engine development, distributed systems, or database query processing.

• Experience building or maintaining query compilers, optimizers, or execution engines.

• Background with graph databases or graph query languages.

• Experience shipping distributed query processing across multiple data sources, including federated execution across heterogeneous systems.

• Proficiency in C++, Rust, or Java, with knowledge of SQL, query optimization, or compiler design.

• Experience optimizing query performance in high-volume or latency-sensitive environments, and familiarity with Snowflake, Databricks, or Oracle.

• Knowledge of semantic layers, knowledge graphs, or complex enterprise data environments is beneficial.

Compensation & Benefits

Visa sponsorship is available.

Location

On-site in San Mateo, United States.