Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
Senior Data Infrastructure Engineer, Query Engine
San Mateo, California, United States
Actively hiring, first seen by us 3 hours ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
Before you apply
- Work authorization
- Sponsors visas
What you’ll work on
Full postingJoin 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.
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.
From the employer’s posting
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.
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
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.
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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 55.
From 12,966 similar postings that came down. Coming down is not always a hire.
clera is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Java
- Rust
- SQL
- Databricks
- Snowflake
Where the posting names them
- 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.
- 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.
- 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.
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Mateo, California, United States
Location On-site in San Mateo, United States.
- Work authorization
Compensation & Benefits Visa sponsorship is available. Location