Software Engineer - Data Product

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May 23

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TRM Labs

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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

🔒 Cybersecurity

💸 Finance

💰 $70M Series B on 2022-11

📋 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. • 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 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.

🎯 Requirements

• 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

🏖️ Benefits

• We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships. • We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration. • By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.