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Open nowPosted 2 hours agoWe saw it 77 min after it went up

Senior Data Infrastructure Engineer, Query Engine

Clera267 open roles

Where
San Mateo
Work mode
On site
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Your applicationOpen nowSenior Data Infrastructure Engineer, Query EngineClera · San Mateo

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 2 hours ago

Clera median: 6 days open

The posting

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.

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