Job Description
TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact.
At TRM, we’re constantly building the foundations that power best‑in‑class attribution across dozens of blockchains. As a Senior Data Engineer on the Attribution Expansion team, you will design, build, and operate the data infrastructure and services that turn noisy on‑chain activity into reliable attribution signals at scale. You’ll work closely with blockchain experts, data scientists, and software engineers to encode attribution algorithms into robust data models, ship impactful, high‑throughput data pipelines, and ensure TRM’s attribution stays trustworthy and operationally rock‑solid.
The impact you’ll have here:
Build and evolve the Attribution Expansion infrastructure so other team members can safely ship new algorithms and data pipelines with minimal friction.
Own end‑to‑end attribution data pipelines that turn noisy on‑chain data into high‑quality labels and features used across TRM products.
Standardize how algorithms are implemented and modeled in data, making them reusable, testable, and explainable.
Implement robust monitoring, data quality checks, and SLAs for attribution systems.
Improve developer experience (templates, tooling, CI/CD, configuration) for other team members working on attribution pipelines.
What we’re looking for:
Write high-quality code in SQL and Python.
Strong experience with Airflow, SQL and working with very large data sets in production.
Broad experience across data modeling, distributed processing, data warehousing / lakehouse, and orchestration. Knowledge of data engineering stack (e.g., Spark/Flink/Beam, dbt, BigQuery/Snowflake/ClickHouse, Kubernetes/Terraform/Datadog, etc.).
Demonstrated ownership and adaptability: able to take initiative, navigate ambiguity, structure complex problems, and ruthlessly prioritize the most critical issues.
Strong collaborator and communicator: works effectively across diverse, cross‑functional teams and clearly communicates complex ideas to both technical and non‑technical audiences, driven by TRM’s mission to build a safer financial system.
Bonus points:
Experience with ML infrastructure (feature stores, model registries, online inference data paths; tools like MLflow, Feast, ONNX, etc.).
Interest in virtual currencies, applications, and their use in financial networks and blockchain analysis is a plus.
Learn about TRM Speed in this position:
Rapid Issue Resolution. TRM Engineers identify and resolve critical onsite issues in minutes to hours, not weeks. We create virtual war rooms, implement fixes, and share lessons with both customer stakeholders and internal teams within 48 hours.
Navigating Bureaucracy. We anticipate and address procedural hurdles, build trust with key stakeholders, and find alternative pathways to approvals. This keeps projects moving even in complex environments.
Efficient Knowledge Transfer. Engineers document and share updates in real time, ensuring the entire team—onsite and remote—has full visibility into plans, blockers, and resolutions. Knowledge sharing sessions and clear documentation reduce friction and accelerate delivery.
About TRM's Engineering Levels:
Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.
Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.
Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.