Related skills
python pandas dbt apache airflow numpy📋 Description
- Own and evolve ClickHouse Python connectors and SDKs; improve performance and API design.
- Build and maintain Python integrations with orchestration tools Airflow, Dagster, Prefect and dbt.
- Drive AI/LLM integration strategy for RAG, ML features, and LLM-powered data apps.
- Engage with open-source community; triage issues and shape roadmap.
- Collaborate with Product, Cloud, and other teams to align integration work with platform priorities.
- Bring practitioner perspective to roadmap decisions, grounded in Data Engineer/Scientist workflows.
🎯 Requirements
- 7+ years of software development; experience as Data Engineer/Scientist/ML Engineer preferred.
- Production-grade Python connectors/SDKs/integrations for a major platform (orchestration/BI/MLOps).
- Python data ecosystem: Pandas, NumPy, Pydantic.
- Hands-on with Airflow, Dagster, or Prefect.
- AI/ML in data engineering: embeddings, vector search, feature pipelines, LLM tooling in production.
- Strong SQL, data modeling, query optimization; OLAP/analytical databases.
🎁 Benefits
- Flexible, remote-friendly work environment across 20+ countries.
- Healthcare – employer contributions.
- Equity – stock options for all new hires.
- Time off – Flexible US, generous elsewhere.
- $500 home office setup for remote employees.
- Global Gatherings – company-wide offsites.
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