Senior Software Engineer, Data Product

November 19, 2024

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Logo of TRM Labs

TRM Labs

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.

Anti-money laundering • Blockchain analysis • Transaction monitoring • Crypto compliance • Blockchain forensics

51 - 200 employees

🔒 Cybersecurity

💸 Finance

💰 $70M Series B on 2022-11

📋 Description

• TRM is on a mission to build a safer financial system for billions of people. • The Data Product team collaborates with data scientists, engineers, and product managers to build scalable features. • As a Software Engineer, you will design and build mission-critical data services to analyze blockchain transaction activity. • Collaborate across departments to design and implement novel data models to 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

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