TRM Labs14.02.26
AI SCORE 8.5

Senior Data Engineer - Graph Analytics (Remote)

$140K–$180K/year

About the Role

We are seeking a Senior Data Engineer to join our Graph Analytics team at TRM Labs. As a Senior Data Engineer, you will play a crucial role in building scalable graph systems that analyze large networks of cryptocurrency transactions. This Senior Data Engineer remote position allows you to collaborate with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds.

What You'll Do

  • Design and implement graph algorithms that analyze large cryptocurrency transaction networks at a multi-blockchain scale.
  • Research new graph-native technology to evaluate benefits for data science and engineering teams.
  • Collaborate with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features.
  • Understand and refine TRM’s risk models that analyze large networks of cryptocurrency transactions to assign risk scores to addresses.
  • Communicate complex implementation details to various audiences, including investigators and customer success stakeholders.
  • Integrate diverse data inputs ranging from raw blockchain data to complex model outputs.

Requirements

  • Academic background in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
  • Strong knowledge of algorithm design and data structures, with experience applying this knowledge to real-world problems.
  • Experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases.
  • Proficient in programming with Python and SQL.
  • Excellent communication skills, able to tailor explanations of complex topics to both technical and non-technical audiences.
  • Self-motivated and comfortable working with ambiguity, proposing and validating solutions with minimal guidance.

Nice to Have

  • Knowledge of basic graph theory concepts.
  • Experience converting academic research into products.
  • Familiarity with cryptocurrency and blockchain technologies.

What We Offer

  • Competitive salary range of $140,000 to $180,000 per year.
  • Remote work flexibility with a culture grounded in trust and transparency.
  • Opportunities for professional growth and development.
  • Collaborative and diverse team environment.
  • Work on impactful projects that protect civilization.
Why This Job8.5 of 10

This Senior Data Engineer role at TRM Labs offers a unique opportunity to work on impactful projects in a fast-paced remote environment. With a competitive salary and a focus on innovation, this position is ideal for those looking to make a difference.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Expertise in Python and SQL for efficient data manipulation and integration, as well as hands-on experience with big data frameworks like Apache Spark and Apache Hadoop to handle large datasets effectively.

Strong analytical mindset with a focus on graph databases and algorithms, enabling the development of innovative solutions for visualizing and analyzing complex cryptocurrency transaction networks.

Self-motivated and disciplined to excel in a fully remote work environment, demonstrating proactive communication and collaboration skills to engage with cross-functional teams and stakeholders.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Engineer - Graph Analytics(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
12.5%
AI Adoption in Data Engineering
65%
Investment in Graph Databases
+40%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
PythonSQLApache Spark
Growing in Demand
Machine LearningGraph TheoryCloud Data Warehousing
Declining
MapReduceTraditional RDBMS

Domain Trends

Rise of Graph Analytics
The demand for graph analytics is surging, with a projected growth of 25% in usage among enterprises by 2025 as organizations seek to derive insights from complex relationships in data.
Increased Adoption of Cloud Services
Over 70% of data engineering teams are migrating to cloud-based solutions, driven by the need for scalability and flexibility in processing large data sets.
Integration of AI in Data Processing
Approximately 60% of companies are integrating AI tools to enhance data processing capabilities, leading to more efficient data pipelines and improved decision-making.

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