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# Senior Software Engineer, Query

- **Company:** TALENTHOP LLC
- **Location:** Bay, United States (Remote available)
- **Experience:** Expert
- **Salary:** $156,500.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Data Infrastructure, Data Security, Data Stores, Distributed Systems, TypeScript, Datadog, Data Storage Technologies, Data Ingestion, ReactJS, Backend, Vertica, Programming Languages
- **Published:** October 22, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pthlkd9f44

## About the Role

* Daily use and deep understanding of AI-assisted engineering.
 * Experience building or owning data-intensive systems including ingestion pipelines and analytical datastores.
 * Proficiency or strong capability in Go programming language; familiarity with React and TypeScript is beneficial.
 * Knowledge of distributed systems concepts such as delivery guarantees and failure recovery.
 * Demonstrated technical leadership in designing complex systems and mentoring.
 * Minimum of five years of experience operating production backend systems with attention to latency, reliability, and correctness.

## Description

The SENIOR SOFTWARE ENGINEER, QUERY role is central to developing and maintaining the data infrastructure that supports reliable, fast access to historical and analytical data. This position enables the organization to transform raw product data into valuable insights for internal teams and customers, ensuring data is available at scale and performance standards are met. The engineer will lead technical decisions and improve data platform stability, directly impacting how data supports product development and user experience., * Build AI-native solutions for data challenges.

 * Develop and harden the ClickHouse-based data storage layer.
 * Design data schemas and optimize ingestion and query performance.
 * Construct and manage pipelines for reliable data ingestion using event streams and durable workflows.
 * Provide scalable, high-performance data access through APIs for product teams and customers.
 * Lead architectural decisions and technical direction for data domain migrations.
 * Implement observability practices using tools like Honeycomb, Datadog, and Rollbar.
 * Address immediate technical issues and underlying systemic causes to improve team practices and processes.