Senior Software Engineer, Data Product

🕒 July 28

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 31%

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Logo of TRM Labs

TRM Labs

201 - 500 employees

Founded 2018

₿ Crypto

📋 Compliance

🤝 B2B

Crypto • Compliance • B2B

TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.

📋 Description

• Build highly scalable features integrating with dozens of blockchains • Design and architect intricate data models for optimal storage and retrieval • Support sub-second latency querying of blockchain data • Collaborate with data scientists, backend engineers, and product managers • Design and implement novel data models enhancing TRM products • Build mission-critical data services analyzing blockchain transaction activity at petabyte scale • Deliver reusable systems and improve team throughput through appropriate tradeoffs • Contribute to documentation, knowledge sharing, operational excellence, testing, and monitoring

🎯 Requirements

• Bachelor's degree (or equivalent) in Computer Science or a related field • 5+ years of hands-on experience architecting scalable API development and distributed system architecture • Experience guiding projects from initial ideation through successful production deployment • Exceptional programming skills in Python • Aptitude in SQL or SparkSQL • Experience with data stores such as BigQuery and Postgres • Proficiency with Airflow and DBT • Expertise in Dataflow, Spark, Kafka, and Flink • Competence deploying and monitoring infrastructure in public cloud platforms • Experience with Docker, Terraform, Kubernetes, and Datadog • Ability to load, query, and transform extensive datasets • Applied AI fluency, evaluated during the interview process

🏖️ Benefits

• Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements

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