Senior or Staff Software Engineer Data Platform
Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.
Maintainer signals as of 9/24/2026
Funding history
Investors
About TRM Labs
TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build reliable data services integrating with blockchains, develop real-time ETL pipelines, architect data models, and oversee database-cluster deployment and monitoring. You will work with data scientists, backend engineers, and product managers to improve data models and platform capabilities.
Requirements
- Bachelor's degree or equivalent in Computer Science or a related field
- 5+ years of hands-on experience architecting distributed systems through production deployment
- Python programming skills
- SQL or SparkSQL proficiency
- Experience with Iceberg, Trino, BigQuery, StarRocks, Citus, Airflow, DBT, Spark, Kafka, Flink, Docker, Terraform, Kubernetes, or Datadog
- Ability to load, query, and transform extensive datasets
Responsibilities
- Build reliable data services that integrate with blockchains
- Develop real-time ETL pipelines for structured and unstructured data
- Design and architect data models for efficient storage and retrieval
- Oversee deployment and monitoring of database clusters
- Collaborate with data scientists, backend engineers, and product managers on data models
- Build self-service automation for scaling and maintaining platform infrastructure
Hiring Process
Recruiter intro; hiring manager interview; first round of 1–2 skill-focused interviews; final round of 3–5 interviews; references; offer; onboarding.
