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:
Collaborate with teammates to design effective data architecture solutions that address our analysis needs
Implement and deploy these architectural solutions
Develop fast, efficient, and real-time data pipelines using Airflow
Build resilient blockchain data indexers
Use DBT/SQLMesh for effective data transformations
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.