Senior Data Infrastructure Engineer, Query Engine (Visa Sponsorship - San Mateo, United States)

Visa sponsorship available. This is a senior engineering role on an early-stage AI infrastructure team building a query engine that brings graph-style querying together with enterprise data stores. You will work on the core parts that parse, plan, and run queries across several data systems, helping users reason over and aggregate information from many sources at once.

What you'll do

• Design and extend compiler and executor components to add new query language features and functions.
• Build and tune graph-native query capabilities that operate across multiple data sources.
• Develop pass-through query logic for cloud data platforms and enterprise databases.
• Partner with the platform team to improve performance, reliability, and scalability.
• Diagnose and fix complex query execution problems in production.

What you need

• 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.
• Strong proficiency in C++, Rust, or Java, with working knowledge of SQL and query optimization or compiler design.
• Experience shipping distributed query processing across heterogeneous data sources, including federated execution.
• Familiarity with graph databases or graph query languages is strongly preferred.
• Experience with Snowflake, Databricks, or Oracle, and with optimizing latency-sensitive, high-volume workloads, is a plus.

How to apply

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