TRM Labs-posted 5 months ago
$200,000 - $230,000/Yr
Full-time • Senior
101-250 employees

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. 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 Software 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.
  • Bachelor's degree (or equivalent) in Computer Science or a related field.
  • 5+ years of hands-on experience in architecting scalable API development and distributed system architecture.
  • Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
  • 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.
  • Generous PTO
  • Holidays
  • Parental Leave for full-time employees
  • Participation in TRM’s equity plan
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