Senior Python Engineer - ML and Data Science - Remote

Overview

This position is posted by Jobgether on behalf of ClickHouse. We are currently looking for a Senior Python Engineer – ML and Data Science in the United States.

This role sits at the crossroads of data science and backend engineering, offering a unique opportunity to shape the experience of thousands of machine learning engineers and data scientists. You will be instrumental in expanding the capabilities of the Python ecosystem, optimizing performance for real-time analytics, and contributing to widely used open-source projects. Collaborating with product, engineering, and external communities, you’ll work to bridge the gap between analytical databases and modern data science workflows—all in a highly distributed and collaborative environment.

In Short

• Design and implement Python features that streamline data ingestion, transformation, and exploration for analytics and ML teams.
• Enhance existing integrations with popular data science libraries, improving the interoperability between Python and modern analytical databases.
• Contribute actively to open-source repositories, ensuring compatibility with leading data science and machine learning frameworks.
• Optimize performance for querying and data handling in Python-driven environments.
• Work closely with cross-functional teams (engineering, product, community) to gather feedback and improve developer and data science user experience.
• Develop reference architectures and examples to guide best practices in data workflows and ML integration.

Requirements

• Strong experience with Python programming.
• Proficiency in machine learning and data science methodologies.
• Familiarity with open-source contributions.
• Experience in backend engineering and data handling.
• Ability to work collaboratively in a distributed environment.
• Knowledge of modern analytical databases.

Benefits

• Opportunity to work on impactful open-source projects.
• Collaborative and innovative work environment.
• Flexible working conditions.
• Professional development opportunities.