<div><h3>About ClickHouse</h3> 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.  </div>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. 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? <ul> <li>Improve ClickHouses Data Science Python experience: Design and implement features that simplify data ingestion, transformation, and analysis for data scientists using Python.</li> <li>Contribute to ClickHouses Python Integrations: Enhance existing ClickHouse’s Python integrations to provide a seamless data science experience.</li> <li>Work with Open-Source Ecosystem: Contribute to ClickHouse’s open-source repositories, ensuring compatibility with popular data science toolkits.</li> <li>Performance Optimization: Ensure efficient query execution and data handling when interfacing with Python.</li> <li>Collaborate with Internal &amp; External Teams: Work closely with product managers, engineers, and the data science community to gather feedback and refine features.</li> <li>Advocate for Best Practices: Educate users on best practices for leveraging ClickHouse in data science applications via examples and reference architectures.</li> </ul> About you <ul> <li>Strong proficiency in Python and familiarity with data science libraries and data processing frameworks such as Pandas, Polars, Scikit-learn, PyTorch.</li> <li>Experience working with databases, query engines, or analytical tools (Snowflake, BigQuery, ClickHouse, DuckDB, etc.).</li> <li>Understanding of distributed systems and OLAP databases.</li> <li>Hands-on experience with data engineering workflows and integrating databases with machine learning or analytics pipelines.</li> <li>Contributions to open-source projects or experience working in an open-source development environment.</li> <li>Strong problem-solving skills and ability to work in a cross-functional team.</li> <li>Strong communication skills.</li> </ul> Nice-to-Have  <ul> <li>Prior experience with ClickHouse or cloud-based OLAP analytics systems.</li> <li>Understanding of ML workloads and integration with analytical databases.</li> <li>Prior experience working in a developer-first or database technology company.</li> </ul><div><h3>Compensation</h3> For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as Los Angeles, CA, the San Francisco Bay Area, CA, the Seattle, WA, Area, and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at <a href="mailto:paytransparency@clickhouse.com">paytransparency@clickhouse.com</a>. <h3>Perks</h3> <ul> <li>Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries.</li> <li>Healthcare - Employer contributions towards your healthcare.</li> <li>Equity in the company - Every new team member who joins our company receives stock options.</li> <li>Time off - Flexible time off in the US, generous entitlement in other countries.</li> <li>A $500 Home office setup if you’re a remote employee.</li> <li>Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.</li> </ul> Culture - We All Shape It As part of our first 500 employees, you will be instrumental in shaping our culture.  Are you interested in finding out more about our culture?  Learn more about our values <a href="https://clickhouse.com/company/careers">here</a>.  Check out our<a href="https://clickhouse.com/blog"> blog posts</a> or follow us on <a href="https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true">LinkedIn</a> to find out more about what’s happening at ClickHouse. Equal Opportunity &amp; Privacy  ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  Please see <a href="https://clickhouse.com/legal/applicant-privacy-notice" target="_blank">here</a> for our Privacy Statement.</div>

ClickHouse

Senior Python Engineer - ML and Data Science

ClickHouse

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