# Senior Data Engineer - Python, CI/CD

**Company:** [Clickhouse](https://hotfix.jobs/companies/clickhouse)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $84k – $170k/yr
**Skills:** SQL, Python, Airflow, dbt, ClickHouse, AWS, GitHub Actions, ETL, ELT, CI/CD
**Posted:** 2026-05-13

> Builds and optimizes large-scale data pipelines using Airflow, dbt, and Python on a ClickHouse-powered data warehouse. Designs reusable components, data models, and DataOps tooling while mentoring the team and ensuring platform reliability.

## Job Description

## Key Responsibilities

### DWH Platform Development
- Design and develop reusable Airflow components - operators, connectors, and hooks - along with custom integrations tailored to our data architecture.
- Build reusable dbt macros and abstractions: incremental strategies, ETL building blocks, and generic data quality tests, all optimized for ClickHouse-specific behavior and our data patterns.
- Develop DataOps tooling - CI pipelines, data migration frameworks, and security controls - with a strong focus on reliability, self-service usability, and scale.

### Team contributions
- Conduct thorough code reviews for team members and other team contributors.
- Actively participate in technical and architectural design discussions.
- Drive technical leadership in specific areas of our stack.
- Continuously improve the team's development environment, with a focus on automation - including AI-assisted workflows.
- Contribute to platform stability through proactive troubleshooting and timely incident resolution.

### Data modeling
- Develop, refactor, and optimize business data models in line with our modeling standards and ClickHouse best practices.
- Mentor and support contributors through code reviews and technical guidance.
- Lead the design and implementation of the most technically demanding data marts - particularly those involving high data velocity, large volumes, or complex business logic.

## Qualifications

**Required:**
- Exceptional SQL skills - this is non-negotiable.
- Strong hands-on experience with Airflow, dbt, and Python.
- Proven track record building and optimizing large-scale, high-throughput data pipelines.
- Solid understanding of data warehousing fundamentals: ETL/ELT, dimensional modeling, and data quality.
- Bachelor's degree in Computer Science or a related field.
- Comfortable thriving in a fast-paced startup environment — exciting and dynamic, but sometimes wonderfully chaotic.

**Preferred:**
- Hands-on experience with ClickHouse - a significant advantage.
- Familiarity with AWS or other cloud platforms.
- Experience with CI/CD development, especially using GitHub Actions.

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