Clickhouse Developer information
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$17.07 - $22.95
8% of jobs
$22.95 - $28.82
3% of jobs
$28.82 - $34.70
6% of jobs
$40.37 is the 25th percentile. Wages below this are outliers.
$34.70 - $40.58
7% of jobs
$40.58 - $46.46
14% of jobs
$46.46 - $52.34
9% of jobs
The median wage is $52.97 / hr.
$52.34 - $58.22
15% of jobs
$62.94 is the 75th percentile. Wages above this are outliers.
$58.22 - $64.10
15% of jobs
$64.10 - $69.97
12% of jobs
$69.97 - $75.85
7% of jobs
$75.85 - $81.73
3% of jobs
How much do clickhouse developer jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for clickhouse developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.
A Clickhouse Developer is a software engineer who specializes in working with ClickHouse, an open-source columnar database management system optimized for real-time analytics. Their responsibilities include designing, implementing, and maintaining database solutions using ClickHouse, optimizing query performance, and ensuring data integrity. They often collaborate with data engineers, analysts, and backend developers to provide high-performance data storage and retrieval. Expertise in SQL, database schema design, and performance tuning are key skills for this role.
To thrive as a ClickHouse Developer, you need a strong background in SQL, database architecture, and performance optimization, ideally supported by experience with distributed data systems and a degree in computer science or a related field. Proficiency with ClickHouse-specific tools, data ingestion pipelines, monitoring systems, and experience with data integration frameworks like Kafka or ETL platforms is typically required. Strong analytical thinking, problem-solving abilities, and effective communication stand out as essential soft skills in this role. These skills and qualities are crucial for ensuring fast, reliable data processing and supporting business intelligence needs in high-volume, real-time environments.
Clickhouse Developers often encounter challenges such as slow query performance due to large data volumes or inefficient schema design. Addressing these issues usually involves optimizing table schemas, partitioning data effectively, and implementing appropriate indexing strategies. Developers also monitor system metrics and adjust resource allocation to balance workloads. Collaboration with data engineers and DBAs is common, ensuring that best practices are followed and performance bottlenecks are resolved promptly.
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