Senior Graph Data Engineer - Crypto Transaction Networks

TRM Labs; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

TRM Labs is seeking a Senior Data Engineer for the Graph Analytics team to build scalable graph systems that analyze large cryptocurrency networks across multiple chains. You will design mission-critical graph algorithms and collaborate with engineers, data scientists, and investigators to apply graph theory to predictive learning problems.

You will work on distributed data processing, optimize large-scale systems, and translate research into product features, communicating results to technical

Qualifications

• Strong background in algorithm design and data structures.
• Experience with large-scale distributed data processing systems.
• Proficient in Python and SQL.
• Excellent communicator able to explain complex topics to diverse audiences.
• Self-motivated, able to work with ambiguity and define research direction.
• Knowledge of graph theory concepts.

Responsibilities

• Design and implement graph algorithms for large cryptocurrency networks.
• Research and evaluate new graph-native technologies.
• Collaborate with cross-functional teams including investigators, data scientists, and engineers.
• Refine risk models that score addresses within networks.
• Communicate complex implementation details to technical and non-technical audiences.
• Integrate diverse data inputs from raw blockchain data to model outputs.

Skills

Algorithm design

Distributed data processing

Python

SQL

Communication

Self-motivated

Graph theory concepts

Education

Bachelor's degree in CS/Math/Engineering/Physics

Tools

Apache Spark

Apache Hadoop

Dask

Distributed graph databases

Job description

TRM Labs is seeking a Senior Data Engineer for the Graph Analytics team to build scalable graph systems that analyze large cryptocurrency networks across multiple chains. You will design mission-critical graph algorithms and collaborate with engineers, data scientists, and investigators to apply graph theory to predictive learning problems.

You will work on distributed data processing, optimize large-scale systems, and translate research into product features, communicating results to technical