TRM Labs
Senior Data Engineer, Graph Analytics
North America · Remote · Senior · Full-time · Posted Nov 6, 2025
- Education
- Academic background in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
About the job
Builds scalable graph systems and algorithms to analyze cryptocurrency transaction networks, support risk models, and deliver graph-based features across multiple blockchains.
What you'll do
- Design and implement graph algorithms for large, multi-blockchain transaction networks.
- Evaluate graph-native technologies and work with investigators and data science teams to identify requirements and applications.
- Integrate varied data inputs and refine risk models that score cryptocurrency addresses.
What they ask for
- Strong knowledge of algorithm design, data structures, and basic graph theory, applied to real-world problems.
- Experience optimizing large-scale distributed data processing systems and distributed graph databases.
- Strong programming experience with Python and SQL.
- Experience translating academic research into products and working with research teams that regularly ship features.
Tools
Apache Spark, Apache Hadoop, Dask, Python, SQL
AI focus
TRM expects team members to apply AI to accelerate workflows, structure and solve problems, improve output quality, and increase speed and leverage; applied AI fluency is evaluated during interviews.
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