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Full Time Clickhouse Jobs (NOW HIRING)

Solutions Architect

Birmingham, AL · On-site

$59 - $77.75/hr

... Full-Time At Mission Pet Health, our passion for pets and their families fuels our ambition to ... Set the direction for our analytical layer on SQL Server, SSAS, and ClickHouse, and for our ...

Software Engineer, Backend

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We work full-time and in-person at our waterfront office in San Francisco. We care about creativity ... and ClickHouse data layer, the Python services that run our ML inference, and the Kubernetes ...

Python • ClickHouse • PostgreSQL • Kafka • Kubernetes Preferred (Nice-to-Have) * Experience ... Reports to: VP of Data Position Type/Expected Hours of Work This is a full-time position; days and ...

Senior Software/Data Engineer

Atlanta, GA · Hybrid

$116K - $153K/yr

Python ClickHouse PostgreSQL Kafka Kubernetes Preferred (Nice-to-Have) * Experience with lower ... Reports to: VP of Data Position Type/Expected Hours of Work This is a full-time position; days and ...

Redis * ClickHouse * Grafana * VictoriaMetrics * Vault Why Join Us * Build and operate a world ... This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending ...

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Showing results 1-20

Full Time Clickhouse information

See salary details

$12

$17

$25

How much do full time clickhouse jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for full time clickhouse in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Full Time Clickhouse vs Full Time Data Analyst?

AspectFull Time ClickhouseFull Time Data Analyst
Required SkillsSQL, database management, performance tuningData visualization, statistical analysis, SQL
Work EnvironmentData engineering teams, database administrationBusiness units, reporting teams
CertificationsDatabase certifications, SQL proficiencyData analysis, BI tools certifications
Industry UsageTech, finance, e-commerceMarketing, finance, consulting

Full Time Clickhouse roles focus on managing and optimizing Clickhouse databases, requiring technical skills in database management and performance tuning. In contrast, Full Time Data Analysts interpret data, create reports, and support decision-making. While both roles involve SQL, their core responsibilities and work environments differ significantly.

More about Full Time Clickhouse jobs
What are the most commonly searched types of Clickhouse jobs? The most popular types of Clickhouse jobs are:
What states have the most Full Time Clickhouse jobs? States with the most job openings for Full Time Clickhouse jobs include:
Infographic showing various Full Time Clickhouse job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.

Grafana & ClickHouse Analytics Engineer

Northern Base

Boise, ID • On-site

Full-time

Posted 20 days ago


Job description

Role: Grafana & ClickHouse Analytics Engineer
Location: Boise, ID
Fulltime
UCS/GC/GC EAD
 
Job Description
Must Have Technical/Functional Skills:
Grafana dashboards, panels, visualizations and alerting
Click House architecture, schema design and data modeling
Click House SQL, SQL Server to ClickHouse migration and syntax differences
Query optimization, performance tuning and large-scale analytics
Near real-time analytics, observability practices and collaboration/documentation
 
Roles & Responsibilities
• 5 to 8 years of experience in BI/reporting, analytics engineering, observability, or data platform 
implementation.
• Hands-on experience building Grafana dashboards using variables, templating, transformations, 
drilldowns, annotations, alert rules, notification channels/contact points, and dashboard-as-code 
practices where applicable.
• Strong understanding of Click House architecture including Merge Tree engines, partitions, primary/sort
 keys, materialized views, projections, compression, distributed tables, and replication/sharding concepts.
• Experience converting SQL Server / T-SQL based analytics, stored logic, or SSRS report datasets into 
Click House-compatible SQL and optimized analytical query patterns.
• Ability to analyze existing SSRS reports, identify metrics/KPIs, map datasets, validate business logic, 
and recreate equivalent or improved visualizations in Grafana.
• Strong SQL skills with focus on aggregation, window functions, joins, time-series queries, query profiling, 
explain plans, and performance tuning for high-volume analytical workloads.
• Working knowledge of near real-time analytics pipelines, ingestion patterns, data freshness, alert thresholds, 
SLA/SLO monitoring, and dashboard performance best practices.
• Ability to work with cross-functional teams, communicate migration risks, document assumptions, and
 support UAT/business validation.
 
Key Responsibilities
- Assess existing SSRS reports and SQL Server analytics assets, document report inventory, datasets, 
dependencies, calculations, filters, and migration complexity.
- Design and develop Grafana dashboards that replicate or enhance existing SSRS reporting capabilities
 using reliable visualizations, variables, and user-friendly navigation.
- Create and optimize ClickHouse SQL queries for large-scale analytics with appropriate data modeling, 
partitioning, sorting keys, materialized views, and query tuning techniques.
- Collaborate with data engineering teams to define ingestion, transformation, and data validation 
requirements for ClickHouse as the target analytics platform.
- Implement Grafana alerting for key operational/business metrics, including severity levels, thresholds, 
routing, and notification configuration.
- Validate report outputs against legacy SSRS/SQL Server results, reconcile discrepancies, and document 
any changes in metric definitions or business rules.
- Establish dashboard performance standards, reusable patterns, naming conventions, access controls, and 
monitoring best practices.
- Prepare technical documentation, migration runbooks, KT materials, and support handover to 
operations/business users.