Blockchain intelligence solutions to detect, monitor and investigate fraud and financial crime in digital assets.

Senior Data Engineer, Graph Analytics

Data EngineerData EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany Site LinkedIn

Location

United States

Posted

126 days ago

Salary

Not specified

Bachelor DegreeEnglishApacheHadoopPythonSparkSQL

Job Description

• Build scalable graph systems that analyze large networks of cryptocurrency transactions. • Collaborate closely with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds. • Leverage distributed databases and graph processors to implement real-time graph algorithms at the multi-blockchain scale. • Collaborate with data science teams to identify opportunities to apply tools and techniques from graph theory to a variety of predictive learning problems.

Job Requirements

Your academic background is in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
You have strong knowledge of algorithm design and data structures, and have experience applying this knowledge towards real-world problems.
You have experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases.
You have experience converting academic research into products and have worked with research teams that regularly ship new features.
You have strong programming experience with Python and SQL.
You are an excellent communicator who is skilled at tailoring explanations of complex topics to both technical and non-technical audiences.
You are self-motivated. You propose and validate solutions with minimal guidance. You're comfortable working with ambiguity and shaping your own research direction while being accountable for outcomes.
You are knowledgeable of basic graph theory concepts.