Senior Software Engineer, Data Product

Build a Safer World.

TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto‑related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.

The Data Product team collaborates with an experienced group of data scientists, engineers, and product managers to build highly scalable features that power TRM's products and services. As a Senior Data Engineer on the Data Product team, you will be responsible for designing and building mission‑critical data services. These features analyze and provide insights into blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

• Build highly scalable features that integrate with dozens of blockchains.
• Design and architect intricate data models for optimal storage and retrieval to support sub‑second latency for querying blockchain data.
• Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.
• You’ll work closely with product managers, data scientists, and customer‑facing teams to deeply understand user needs and translate them into scalable data solutions.
• Our best engineers are also exceptional communicators. They write clear design docs, proactively share tradeoffs, and build alignment across disciplines.
• Bonus:
  Experience with LLMs or AI‑powered workflows (e.g., prompt engineering, internal tooling, semantic search).

• Bachelor’s degree (or equivalent) in Computer Science or a related field.
• A proven track record, with 5+ years of hands‑on experience in architecting scalable API development, distributed system architecture, guiding projects from initial ideation through to successful production deployment.
• Exceptional programming skills in Python, as well as adeptness in SQL or Spark
  
  SQL.
• Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
  • In‑depth experience with data stores such as Big Query and Postgres.
  • You’ve owned 0–1 systems: building pipelines, data platforms, or ML/BI workflows from scratch— not just maintaining legacy.
  • You simplify complexity. You’re skilled at writing and communicating technical decisions clearly to both technical and non‑technical stakeholders.
  • You’re cost‑conscious: you design for performance, scale, and efficiency.
  • You’ve mentored engineers or analysts and enjoy leveling up those around you.
  • Proficiency in data pipeline and workflow orchestration tools like Airflow and DBT.
  • Expertise in data processing technologies and streaming workflows including Dataflow, Spark, Kafka, and Flink.
  • Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
  • Proven ability in loading, querying, and transforming extensive datasets.

Engineer:
Responsible for helping to define project milestones and executing small 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.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $190,000 - $220,000.
• Additionally, this role may be eligible to participate in TRM’s equity plan.