about 4 hours ago
Responsibilities
- Develop, maintain, and optimize scalable ETL pipelines using modern data stack.
- Implement data quality frameworks and observability solutions.
- Build systems for high availability, low latency, and fault tolerance.
- Design and maintain efficient data models and schemas.
- Collaborate with product, design, and engineering teams to translate business requirements.
- Foster a culture of excellence within the team.
Requirements
- 5+ years of backend experience in building large-scale, high-availability systems.
- Deep experience with modern ETL pipelines and data engineering solutions.
- Proficiency in languages/frameworks such as Go, Node.js, TypeScript, NestJS, Kafka, Redis, and PostgreSQL.
- Experience implementing data quality frameworks and monitoring solutions.
- Familiarity with on-chain data and decentralized application patterns is preferred.
- Ability to work independently and collaboratively in a lean team.
Benefits
- Competitive salary and equity.
- Comprehensive insurance (medical/dental/vision) — 100% covered.
- Stipend for your ideal remote set-up.
- Flexible hours and a supportive remote environment.
- Unlimited vacation policy.
- 401(k) retirement plan.
- Monthly wellness benefit.
- Weekly meal benefit.
- Global off-sites.
Tech Stack
Categories
BackendData Engineering