Senior Software Engineer - Python and Data Ecosystem
Clickhouse- Location
- USA · Canada · UK +10
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Own and evolve ClickHouse's Python connector and SDK ecosystem
- Build and maintain integrations with orchestration platforms and transformation tools
- Drive the AI/LLM integration strategy
- Engage actively with the open-source community
- Collaborate with Product, Cloud, and other engineering teams
- Bring a practitioner's perspective to roadmap decisions
Requirements
- 7+ years of software development experience
- Hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations
- Hands-on experience applying AI/ML in production data-engineering contexts
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic
- Strong database fundamentals: SQL, data modeling, query optimization
- Familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication
Preferred
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
Skills
- Python
- Apache Spark
- Apache Airflow
- Dagster
- Prefect
- dbt
- SQLMesh
- LangChain
- LlamaIndex
- n8n
- Pandas
- NumPy
- Pydantic
- SQL
- Tableau
- PowerBI
- Superset
- Metabase
- Flink
- Kafka Connect
- Fivetran
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