Senior Software Engineer - Python and Data Ecosystem

New

ClickHouseReal-time analytics

United States (Remote)Full-TimeSenior

Salary$141,000 — $208,000 USD (US) or $157,000 — $232,000 USD (US Premium Markets)

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Job Details

7+ years of software development experience, including 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 for at least one major platform.
Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling.
Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries.
Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
Solid experience with concurrent Python: threading, multiprocessing, and async patterns.
Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities.

Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design.
Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards.
Drive the AI/LLM integration strategy, designing connectors and patterns for RAG architectures, ML feature pipelines, and LLM-powered data applications.
Engage actively with the open-source community, triaging issues, supporting contributors, and advocating for users.
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities.
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows.

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