
Blockchain • Cybersecurity • Finance
TRM Labs is a company that delivers blockchain intelligence to detect crypto-facilitated crime and ensure compliance and safety worldwide. Their services include forensics, tactical transaction monitoring, wallet screening, and know-your-entity solutions. TRM Labs supports government agencies, financial institutions, and crypto businesses globally by providing blockchain investigations and risk management solutions to combat fraud and financial crime. They are trusted by leading organizations to help prove crypto cases in court and build safer financial systems.
51 - 200 employees
đź”’ Cybersecurity
đź’¸ Finance
đź’° $70M Series B on 2022-11
January 23

Blockchain • Cybersecurity • Finance
TRM Labs is a company that delivers blockchain intelligence to detect crypto-facilitated crime and ensure compliance and safety worldwide. Their services include forensics, tactical transaction monitoring, wallet screening, and know-your-entity solutions. TRM Labs supports government agencies, financial institutions, and crypto businesses globally by providing blockchain investigations and risk management solutions to combat fraud and financial crime. They are trusted by leading organizations to help prove crypto cases in court and build safer financial systems.
51 - 200 employees
đź”’ Cybersecurity
đź’¸ Finance
đź’° $70M Series B on 2022-11
• TRM Labs is a blockchain intelligence company dedicated to fighting crime and creating a safer world for billions of people. • By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to safeguard communities from illicit activity and global security threats. • As a Software Engineer on the Data Product team, you will be responsible for designing and building mission-critical data services.
• 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 SparkSQL. • 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 BigQuery and Postgres. • 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
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