TRM Labs06.03.26
AI SCORE 8.5

Senior Data Engineer - Attribution Expansion (Remote)

$140K–$180K/year

About the Role

Join TRM Labs as a Senior Data Engineer, specializing in Attribution Expansion. In this fully remote role, you will play a crucial part in building a safer world by leveraging blockchain analytics and AI solutions. Your expertise will help law enforcement and financial institutions combat crypto-related fraud and financial crime. As a Senior Data Engineer, you will design, build, and operate the data infrastructure that transforms noisy on-chain activity into reliable attribution signals at scale.

What You'll Do

  • Design and implement robust data pipelines that convert noisy on-chain data into high-quality attribution labels and features.
  • Collaborate with blockchain experts, data scientists, and software engineers to encode attribution algorithms into scalable data models.
  • Standardize algorithm implementation and modeling in data to ensure reusability, testability, and explainability.
  • Implement monitoring, data quality checks, and SLAs for attribution systems to maintain operational integrity.
  • Enhance developer experience by improving templates, tooling, and CI/CD processes for attribution pipelines.

Requirements

  • Proficient in SQL and Python with a strong background in data engineering.
  • Experience with Airflow and handling large datasets in production environments.
  • Broad knowledge of data modeling, distributed processing, and data warehousing/lakehouse.
  • Familiarity with data engineering tools such as Spark, dbt, BigQuery, and Kubernetes.
  • Demonstrated ability to take initiative and navigate complex problems effectively.

Nice to Have

  • Experience with ML infrastructure tools like MLflow or Feast.
  • Interest in virtual currencies and blockchain analysis.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 annually.
  • Fully remote work environment with flexible hours.
  • Opportunity to work with a mission-driven team focused on creating a safer world.
  • Access to cutting-edge technology and tools in the blockchain space.
  • Professional development opportunities and a culture of continuous learning.
Why This Job8.5 of 10

This Senior Data Engineer position at TRM Labs offers a unique opportunity to work in a fast-paced environment focused on blockchain analytics and AI solutions. With a competitive salary and the chance to make a significant impact in combating financial crime, this role stands out in the tech industry.

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

Who Will Succeed Here

Proficient in SQL and Python, with a strong understanding of data modeling and warehousing, enabling the design and implementation of efficient data pipelines for blockchain analytics.

Adaptable to remote work environments, showcasing self-motivation and discipline to manage time effectively while collaborating with cross-functional teams on data infrastructure projects.

Experience with orchestration tools like Airflow and containerization technologies such as Kubernetes, demonstrating the ability to manage complex workflows and scalable data solutions in a cloud environment.

Learning Resources

SQL for Data Sciencecourse

Career Path

Senior Data Engineer - Attribution Expansion(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption in Data Engineering
60%
Investment in Data Infrastructure
+35%
Labour Demand for Data Engineers
+22%
Avg Salary for Senior Data Engineers
$135K

Skills & Requirements

Required
SQLPythonAirflow
Growing in Demand
Apache KafkaMachine LearningData Visualization (Tableau, Power BI)
Declining
ETL Tools (Informatica)Traditional Data Warehousing (Teradata)

Domain Trends

Increased Adoption of Cloud Data Warehousing
Over 70% of enterprises are migrating to cloud-based data warehousing solutions, with BigQuery and Snowflake leading the market.
Rise of Real-Time Data Processing
The demand for real-time data processing capabilities has surged, with 55% of companies implementing streaming data solutions like Apache Kafka.
Integration of AI in Data Engineering
AI-driven tools are being adopted by 60% of data engineering teams to automate data pipelines and enhance data quality.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.