Senior Data Engineer, Graph Analytics

TRM Labs · Remote · North America ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Data Engineer
  • Fully remote (distributed)
  • Graph analytics focus
  • Python + SQL required
  • Quarterly travel

Join the Graph Analytics team at TRM Labs to develop mission-critical infrastructure that traces illicit crypto activity. You will design and implement real-time graph algorithms at multi-blockchain scale, working closely with investigators and data scientists to enhance risk models.

This position requires strong expertise in distributed data processing and graph theory. You will translate academic research into production features, optimizing large-scale systems while maintaining high standards for code quality and performance.

What you'll do

  • Design graph algorithms for large cryptocurrency transaction networks
  • Implement real-time graph processing at multi-blockchain scale
  • Research and evaluate new graph-native technologies
  • Refine risk models that assign scores to blockchain addresses
  • Collaborate with investigators to define algorithm requirements
  • Integrate diverse data inputs from raw blockchain to model outputs
  • Communicate technical details to technical and non-technical stakeholders

What you'll need

  • Degree in Computer Science, Mathematics, Engineering, or Physics
  • Strong knowledge of algorithm design and data structures
  • Experience optimizing distributed systems like Spark or Hadoop
  • Proficiency in Python and SQL programming
  • Knowledge of basic graph theory concepts
  • Ability to convert academic research into shipped products
  • Self-motivated with ability to work through ambiguity
  • Skilled at explaining complex topics to varied audiences

Stack

  • Python
  • SQL
  • Apache Spark
  • Apache Hadoop
  • Dask
  • Distributed graph databases

How you'll work

  • Distributed-first company with global hubs
  • Team spread across multiple countries and time zones
  • In-person R&D work weeks 1–2 times per quarter
  • Travel logistics and costs covered by company
  • High-velocity environment with rapid priority changes

What you get

  • Approved travel, lodging, and workspace covered
  • Accommodations for caregiving or health constraints
  • Opportunity to impact global security and crime prevention

Hiring process

  • Recruiter intro call
  • Hiring manager deep dive
  • Technical skills interviews
  • Hands-on case study panel
  • Reference checks
  • Offer presentation