2

Entry Level Clickhouse Jobs (NOW HIRING)

ETL Engineer

Manhattan, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing. If you're someone ...

This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing. If you're someone ...

Entry Level Clickhouse information

See salary details

$12

$16

$22

How much do entry level clickhouse jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level clickhouse in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Clickhouse vs Data Analyst?

AspectEntry Level ClickhouseData Analyst
Required SkillsBasic SQL, understanding of database architecture, familiarity with ClickhouseData querying, statistical analysis, Excel, SQL
Work EnvironmentData engineering teams, database managementBusiness intelligence, reporting, data visualization
CertificationsOptional certifications in SQL or database managementCertifications like Microsoft Data Analyst or Tableau

Entry Level Clickhouse roles focus on managing and optimizing Clickhouse databases, requiring foundational SQL skills and database knowledge. Data Analysts analyze data to generate insights, often using SQL and visualization tools. While both roles involve data handling, Entry Level Clickhouse is more technical and database-centric, whereas Data Analysts focus on interpreting data for business decisions.

What cities are hiring for Entry Level Clickhouse jobs? Cities with the most Entry Level Clickhouse job openings:
What are the most commonly searched types of Clickhouse jobs? The most popular types of Clickhouse jobs are:
Infographic showing various Entry Level Clickhouse job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.
ETL Engineer

ETL Engineer

MedReview

Manhattan, NY • On-site

$120/hr

Full-time

Posted 23 days ago


Job description

Position Summary:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
  • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks
  • Build and optimize ClickHouse ingestion pipelines (batch + streaming)
  • Develop transformations for structured and semi-structured data
  • Optimize SQL Server and ClickHouse queries for performance and scalability
  • Improve data models, partitions, and materialized views in ClickHouse
  • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
  • Monitor pipeline performance and ensure low latency + high reliability
  • Implement data quality checks, error handling and lineage tracking
  • Partner with BI teams to support dashboards (Power BI, etc)
Must-Haves (Non-Negotiables):
We are targeting candidates who already have strong, hands-on experience in the following:
  • ETL tools: Azure Data Factory, SSIS, Databricks
  • Strong SQL skills (writing, optimizing, and troubleshooting complex queries)
  • Experience working with ClickHouse (schema design, ingestion, optimization)
    Experience with cloud environments (Azure perferred)
  • Programing in Python or Scala for data processing
If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit.
Nice to Have:
  • Experience with streaming data (Kafka, Event Hubs)
  • Exposure to big data frameworks
  • Understanding of DevOps/Data pipeline deployment practices
  • Experience supporting BI tools (Power BI, Tableau)
What Success Looks Like:
  • You can independently build and optimize ETL pipelines
  • You understand how to make data systems faster, cleaner, and scalable
  • You're comfortable working across engineering, analytics, and business teams
  • You proactively identify performance issues and fix them