Data Engineer

Type: Remote

Position level: Junior+/Middle

Merge Tech develops and operates arbitrage and quantitative strategies on-chain. Our team faces numerous data challenges that directly impact our business outcomes. We're seeking a data engineer to join our team and tackle tasks like analyzing gas usage patterns and improving execution efficiency. The data team works at a fast pace and frequently engages with cutting-edge blockchain research, offering candidates an opportunity to gain truly deep expertise in the blockchain space.

Approach:

1. Collaborate with teammates to design effective data architecture solutions that address our analysis needs
2. Implement and deploy these architectural solutions
3. Develop fast, efficient, and real-time data pipelines using Airflow
4. Build resilient blockchain data indexers
5. Use DBT/SQLMesh for effective data transformations
6. Streamline insights generation through LLM automation

Industrial Experience:

• Minimum 1+ years of experience with Python, SQL, and data engineering
• Experience with blockchain/Web3 data analysis
• Background in trading data analysis
• Experience at an algorithmic trading firm is a plus

Stack:

• Python
• Airflow
• Parquet, Postgres, ClickHouse, DuckDB, S3 or any other object storage
• Database Schema Migrations
• SQLMesh/DBT
• ETH JSON RPC
• Kafka
• Grafana/Superset
• Dune
• LangGraph/Context Engineering is a plus

We offer

- Participation in the creation of cutting-edge strategies and algorithms in the digital asset market.
- Work in an international high-class team.
- Flexible remote format/worldwide
- Access to unique data and infrastructure.