Summary

We’re looking for a skilled Data Engineer to design and implement high-throughput, real-time data pipelines that serve both trading systems and analytics infrastructure. You’ll work closely with a small, senior team to build systems that ingest, transform, and serve blockchain data at scale — especially on Solana.

If you're passionate about Rust, real-time systems, stream processing, and the crypto space (or want to be), this role is for you.

Key Responsibilities:

1. Build and maintain low-latency data pipelines using tools like Apache Flink, NATS, Kafka, or similar
2. Ingest and process blockchain data from Solana via Geyser or Yellowstone
3. Work with ClickHouse, RisingWave, or similar systems to support analytics and internal dashboards
4. Develop production-quality code in Rust and/or C++
5. Optimize pipelines for performance, reliability, and scalability
6. Collaborate with quant, infra, and trading teams to ensure systems meet performance requirements

Key Qualifications:

1. Strong experience with stream processing frameworks (e.g., Flink, Kafka, NATS)
2. Hands-on experience with Rust or C++ in production environments
3. Familiarity with data lake and analytics engines like ClickHouse, RisingWave, or Arroyo
4. Understanding of real-time or low-latency system architecture
5. Bonus: Experience with Solana or other blockchain infrastructure
6. Bonus: Familiarity with Geyser plugin system or Solana RPC indexing

Preferred Qualifications:

1. Experience with Rust
2. Experience with blockchain technologies
3. Familiarity with real-time data processing
4. Background in financial or trading systems

What We Offer:

1. Competitive salary and benefits package.
2. Opportunity to work with a passionate and innovative team.
3. Flexible working hours and remote work options.
4. Professional growth and development opportunities.
5. A collaborative and inclusive company culture.

Skills

• C++
• Development
• Rust
• Software Architecture
• Software Engineering
• Team Collaboration