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Full Time Clickhouse Jobs (NOW HIRING)

... analytics stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.). • Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML ...

Prometheus, ClickHouse, Grafana * Ray, Docker, Kubernetes * AWS, OCI (Oracle Cloud Infrastructure ... Base Salary Range: $123,000-$216,000 USD What We Offer: Full-time employees are eligible for the ...

... analytics stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.). • Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML ...

Software Engineer

Washington, DC · On-site

$114K - $190K/yr

... Full time Description & Requirements Unlock the secrets of intelligence with MANTECH! Join a ... Advanced knowledge of data and messaging technologies (e.g., NATS, Kafka, Redis, or ClickHouse)

Senior Data Engineer

San Francisco, CA · On-site

$160K - $240K/yr

... or Clickhouse * Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools ... The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits.

Senior AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Snowflake, BigQuery, ClickHouse) and Big Data frameworks (Spark, Flink). * Familiar with message ... The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term ...

... Clickhouse, Plaid, and Vanta. About the Role As our Channel Account Specialist, you will play a ... S.-based full-time employees) * 100% medical, dental & vision insurance coverage for you

Senior MTS - Software Development

Champaign, IL · On-site

$122K - $161K/yr

... ClickHouse) on Kubernetes * Familiarity with observability tooling and standards (e.g ... this full-time position is $157,700-$185,500 + benefits + 401(k) match + equity and is bonus ...

Staff Infrastructure Engineer

Seattle, WA · On-site

$180K - $240K/yr

Build out analytics infrastructure using ClickHouse to handle massive increases in traffic and ... For Full-Time roles, Aurelian offers a variety of benefits, including: * Comprehensive Medical ...

Build out analytics infrastructure using ClickHouse to handle massive increases in traffic and ... For Full-Time roles, Aurelian offers a variety of benefits, including: * Comprehensive Medical ...

... stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.). * Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML practitioner.

AI Search Analyst

New York, NY · On-site

$115K - $145K/yr

BigQuery, ClickHouse, Postgres, dbt * Analytics: dashboards, notebooks, experimentation, reporting workflows Benefits for full-time US employees: Ownership: Equity in a fast-growing, category ...

Staff Data Engineer

New York, NY · On-site

$125K - $150K/yr

ClickHouse, Amazon Redshift, Google BigQuery * ETL / orchestration: Airflow, AWS Glue, NiFi ... Paid parental leave for eligible full-time employees. 12 weeks for birthing parents, 4 for non ...

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Full Time Clickhouse information

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$12

$17

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How much do full time clickhouse jobs pay per hour?

As of Jun 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 another word for full?

In the context of a full-time Clickhouse role, the word 'full' often refers to a complete or permanent position with standard working hours. Synonyms include 'complete,' 'entire,' or 'permanent,' which indicate a stable employment arrangement without part-time or temporary status.

What is full used for?

In the context of a Full Time Clickhouse role, 'full' typically refers to full-time employment, meaning the position requires working a standard number of hours per week, usually around 40. This role involves managing and optimizing large-scale data analytics using Clickhouse, a columnar database, often requiring skills in SQL, data modeling, and performance tuning.

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 cities are hiring for Full Time Clickhouse jobs? Cities with the most Full Time Clickhouse job openings:
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 June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.
Staff Architect

Full-time

Posted 12 days ago


Job description

Job Summary:
6sense is a company focused on growth, retention, and efficiency through its Revenue Intelligence platform. They are seeking a Staff Architect to lead architecture and technical delivery for a major domain, ensuring solutions are scalable, resilient, and operable while partnering closely with engineering and product leaders.
Responsibilities:
• Own the architecture for a core domain of the platform, ensuring it meets scalability, reliability, security, and performance requirements.
• Drive end-to-end design for cross-service initiatives: clarify requirements, propose options, lead tradeoffs, and align stakeholders.
• Produce high-quality design artifacts (HLDs, LLDs, data flow diagrams, API contracts) and lead design reviews.
• Provide hands-on technical leadership through reference implementations, prototypes/POCs, and critical-path contributions when needed.
• Partner with engineering teams to translate architecture into executable plans (milestones, risks, dependencies, rollout strategy).
• Help teams build 'operable' systems: instrumentation, alerting, runbooks, dashboards, and failure-mode thinking.
• Lead architecture for ingestion/enrichment pipelines handling large-scale behavioral events and third-party data.
• Drive improvements to data quality, lineage, observability, and freshness SLAs.
• Guide architecture for feature pipelines and inference serving (batch and online), model monitoring, experimentation, and safe rollouts.
• Partner with data science and ML engineering to productionize reliable, scalable ML systems.
• Drive patterns for tenant isolation, tenant-aware configuration, partitioning strategy, and scalable onboarding.
• Identify and mitigate risks around compliance, data integrity, and access control.
• Lead architecture for integrations with CRM/MAP/GTM tools (Salesforce, HubSpot, Marketo, Outreach, etc.).
• Establish patterns for reliable data activation (idempotency, retries, backfills, versioning, and extensibility).
• Raise the bar through design reviews, technical mentorship, and knowledge-sharing.
• Contribute to architecture standards and reusable patterns; participate in architecture forums/councils.
• Identify architectural risks early and drive mitigation plans.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8+ years in software engineering with significant focus on distributed systems and system design
• Demonstrated experience designing and delivering data-intensive, distributed, cloud-based systems.
• Strong understanding of: Distributed systems, reliability, scalability, fault tolerance
• Microservices/event-driven architectures
• API design, data modeling, integration patterns
• Observability and operability (metrics/logging/tracing, incident learnings)
• Experience with a major cloud platform (AWS, GCP, or Azure).
• Ability to influence across teams through clear communication, strong design rationale, and pragmatic decision-making.
Preferred:
• Experience in B2B SaaS, MarTech/AdTech/Revenue Tech, or similar data-heavy product environments.
• Experience with streaming/batch data systems (Kafka/Flink/Spark or equivalents).
• Familiarity with OLAP/analytics stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.).
• Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML practitioner.
• Experience designing multi-tenant data and service architectures.
Company:
6sense is an account-based marketing platform that helps B2B organizations achieve predictable revenue growth. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.