Senior Software Engineer, Data Systems (Python)
NorthbeamSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Database Systems, Data & Analytics, Software DevelopmentIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What skills are required for the Senior Python Engineer role?
Strong proficiency in Python and familiarity with data science libraries like Pandas, Polars, Scikit-learn, PyTorch are required, along with experience in databases or query engines, distributed systems, OLAP databases, data engineering workflows, and open-source contributions.
What is the salary for this position?
This information is not specified in the job description.
Is this role remote or does it require office work?
This information is not specified in the job description.
What is the company culture like at ClickHouse?
ClickHouse emphasizes open-source development, collaboration with engineering, product, and community teams, and contributing to the ecosystem for data scientists and ML engineers.
What makes a strong candidate for this role?
Candidates with strong Python skills, experience in data science libraries, databases/query engines, distributed systems, data engineering, and open-source contributions will stand out.
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend
Risks
Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.
Differentiation
ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.
Upsides
Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.
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