Senior Python Engineer - ML and Data Science

About ClickHouse

Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company empowers users to generate real-time analytical reports through SQL queries, emphasizing speed in managing escalating data volumes. Enterprises globally, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more, rely on ClickHouse Cloud. It is available through open-source or on AWS, GCP, Azure, and Alibaba.

ClickHouse is the world’s fastest open-source columnar database for real-time analytics. We empower data-driven organizations with high-performance, scalable analytics solutions. As we continue expanding, we are looking for a Senior Python Software Engineer to enhance our Python capabilities and improve the experience for data scientists and machine learning teams using ClickHouse.

Role Overview

As a Data Science-Focused Software Engineer, you will be at the intersection of engineering and data science. Your primary responsibility will be to enhance ClickHouse’s Python ecosystem, ensuring seamless integration for data scientists, ML engineers, and analytics professionals for data exploration and preparation workloads. You will work closely with engineering, product, and community teams to optimize Python libraries, enhance data science workflows, and contribute to open-source initiatives.

What will you do?

• Improve ClickHouse's Data Science Python experience: Design and implement features that simplify data ingestion, transformation, and analysis for data scientists using Python.
• Contribute to ClickHouse's Python Integrations: Enhance existing ClickHouse’s Python integrations to provide a seamless data science experience.
• Work with Open-Source Ecosystem: Contribute to ClickHouse’s open-source repositories, ensuring compatibility with popular data science toolkits.
• Performance Optimization: Ensure efficient query execution and data handling when interfacing with Python.
• Collaborate with Internal & External Teams: Work closely with product managers, engineers, and the data science community to gather feedback and refine features.
• Advocate for Best Practices: Educate users on best practices for leveraging ClickHouse in data science applications via examples and reference architectures.

About you

• Strong proficiency in Python and familiarity with data science libraries and data processing frameworks such as Pandas, Polars, Scikit-learn, PyTorch.
• Experience working with databases, query engines, or analytical tools (Snowflake, BigQuery, ClickHouse, DuckDB, etc.).
• Understanding of distributed systems and OLAP databases.
• Hands-on experience with data engineering workflows and integrating databases with machine learning or analytics pipelines.
• Contributions to open-source projects or experience working in an open-source development environment.
• Strong problem-solving skills and ability to work in a cross-functional team.
• Strong communication skills.

Nice-to-Have

• Prior experience with ClickHouse or cloud-based OLAP analytics systems.
• Understanding of ML workloads and integration with analytical databases.
• Prior experience working in a developer-first or database technology company.

Compensation

United States Salary Ranges

• New York Area / San Francisco Area: $139,000 - $209,500 USD
• Los Angeles, CA / Washington, DC: $125,000 - $188,550 USD
• US Remote - OTE Range: $118,000 - $178,000 USD

Note: Compensation is determined by various factors including candidate experience, qualifications, skills, business requirements, and geographical location. For questions about compensation, please contact paytransparency@clickhouse.com.

Perks

• Flexible work environment - ClickHouse is a globally distributed company.