Data Engineer - Indexing
Design, build, and operate real-time data infrastructure supporting high-throughput streaming and analytics. Architect pipelines, data models, and storage solutions; deploy and maintain production systems; prototype data features; solve consistency and performance challenges; and own features from concept to production.
Responsibilities
- Architect high-performance data solutions
- Build and ship streaming data pipelines
- Design data models and analytics databases
- Implement real-time processing systems
- Prototype and iterate on new data features
- Solve issues related to data consistency and performance
- Deploy and maintain production data infrastructure
- Take ownership of features end-to-end
- Collaborate with engineers and product leaders
Requirements
- Experience in backend systems, data engineering, distributed systems, or high-performance computing
- Experience with databases, streaming systems, or analytics platforms such as ClickHouse or TimescaleDB
- Knowledge of Rust, Go, or other systems programming languages
- Strong problem-solving skills and the ability to work in ambiguous environments
- Proven ownership and ability to lead features with minimal guidance
- Experience in high-growth or startup environments
- Familiarity with crypto, DeFi, or blockchain technologies is a plus