Senior Backend Engineer (Distributed Systems and SQL Query Engines)

On behalf of our client, we are looking for a Senior Backend Engineer (Distributed Systems and SQL Query Engines).

About the Role:

You will help develop and extend a distributed SQL query-processing platform, building backend services that integrate analytical database engines, route queries, and ensure reliable execution across different environments.

The company is considering candidates with expertise in either Google BigQuery/GCP or Databricks/Spark. Experience with both platforms is not required.

Responsibilities:

- Design and develop distributed backend services.

- Build integrations with BigQuery or Databricks.

- Contribute to intelligent SQL query-routing functionality.

- Work on compatibility and reliability across analytical database engines.

- Improve query execution workflows and failure handling.

- Collaborate with the engineering team on architecture and platform improvements.

Requirements:

- 5+ years of experience in Backend/Software Engineering.

- 1+ year of experience with Distributed Systems.

- 2+ years of hands-on experience with either Google BigQuery/GCP or Databricks/Spark/Lakehouse.

- 2+ years of experience with SQL dialects, query processing, and analytical database engine integration.

- Strong experience building reliable and scalable distributed services.

- Solid understanding of concurrency, fault tolerance, and error handling.

- Strong SQL skills and understanding of analytical database engines.

- Familiarity with SQL dialect differences and engine-specific behavior.

- Experience working with analytical workloads and data-processing platforms.

- Availability to work until 11 AM PST.

Nice to Have:

- Python development experience.

- Experience with SQL parsing, AST manipulation, or query planning.

- Knowledge of database and query engine internals.

- Experience with Apache Arrow, Iceberg, or Delta Lake.

- Experience with query routing, SQL gateways, or database proxy development.

- Experience with Snowflake, DuckDB, or ClickHouse.

- Previous experience migrating analytical workloads between database engines.

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews