Related skills
etl python ai temporal connectors📋 Description
- Build and evolve production-grade integrations at scale using App Framework.
- Use AI-assisted development to accelerate coding and debugging.
- Own high-impact connectors and enhancements affecting adoption and retention.
- Synthesize partner and customer feedback to improve connectors and the App Framework.
- Collaborate with external partners on design reviews and problem-solving.
- Develop scalable ingestion workflows and metadata pipelines for real-world load.
🎯 Requirements
- AI-native engineering mindset: actively use AI-assisted development by default.
- Strong backend engineering experience (5+ years), Python-focused.
- Experience with integrations, ingestion, or data pipelines (ETL, connectors).
- High-quality technical judgment in ambiguous environments.
- Hands-on builder who ships: code, debug, deliver improvements.
- Clear technical communicator across internal teams and external ecosystem builders.
🎁 Benefits
- Ownership from Day One: own impactful projects and growth.
- Limitless Opportunities: growth has no boundaries.
- Global data community: open-source, meetups, learning.
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