Nansen, a leading blockchain analytics platform, is seeking a Data Engineer to contribute to the scaling and optimization of its data systems, which power real-time crypto analytics tools used daily by thousands of investors, builders, and institutions.
About the Role
The successful candidate will join a talented and pragmatic team of engineers and researchers dedicated to building high-performance data infrastructure that processes terabytes of both streaming and batch data each day.
The position blends problem-solving, technical innovation, and meaningful impact within the dynamic and rapidly evolving world of Web3.
Key Responsibilities
- Design, build, and scale robust data pipelines leveraging ClickHouse and dbt.
- Collaborate with engineers, researchers, and product managers to define and enhance data modeling and architecture.
- Maintain data reliability, observability, and quality across extensive systems.
- Utilize AI-powered tools such as Cursor, MCPs, and LLMs to automate workflows and boost productivity.
- Address complex and evolving data challenges within the blockchain ecosystem.
Qualifications
- Demonstrated experience in building and scaling production-level data systems.
- Proficiency in SQL and Python, along with experience using dbt, ClickHouse, or BigQuery.
- Familiarity with streaming architectures and large-scale data processing frameworks.
- Genuine curiosity about crypto, blockchain data, or Web3 technologies.
- Excellent communication skills and the ability to thrive in a remote, asynchronous work environment.
Why Join Nansen
Nansen offers a remote-first, async-native culture, enabling employees to work from anywhere. The team is AI-native, integrating advanced tools into daily operations to maximize efficiency.
Team members contribute to high-impact projects that analyze massive-scale crypto data while enjoying the opportunity to influence product and technical direction from the outset.
The company provides a competitive salary and benefits package tailored to support remote professionals.
Interested and qualified candidates can submit applications here.
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