Data Engineer – AI/ML

🕒 il y a 9 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of TRM Labs

TRM Labs

201 - 500 employés

Fondée en 2018

₿ Crypto

📋 Conformité

🤝 B2B

Crypto • Compliance • B2B

TRM Labs est une entreprise spécialisée dans l'intelligence blockchain qui fournit des solutions de surveillance de transactions, de services forensics et de conformité aux entreprises et organismes du secteur public traitant des cryptomonnaies. Leur plateforme et leurs produits (exemples : Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) aident les banques, les entreprises crypto, les régulateurs, les forces de l'ordre et les autorités fiscales à détecter, enquêter et bloquer les activités crypto illicites, soutenir les saisies, et répondre aux exigences de LBC/FT et de supervision. TRM propose également des formations et certifications (TRM Academy) ainsi que des services professionnels tels que la réponse aux incidents et le développement des capacités.

Description

• You will own performance tuning on the StarRocks serving layer, using AI-assisted query profiling (Claude, internal tooling) to find and fix slow query patterns before they become customer-facing incidents. • You will build and harden data pipelines feeding government cloud investigations, using AI code review workflows to ship reliable changes faster in a high-compliance environment where mistakes are costly. • You will reduce single-point-of-failure risk on GovCloud data infrastructure by becoming the second engineer who can independently operate and troubleshoot the serving layer, cutting incident response time when the primary owner is unavailable. • You will use AI-assisted debugging and log analysis to triage production issues in a regulated environment, turning multi-hour investigations into rapid root-cause fixes.

🎯 Exigences

• U.S. citizenship is required for this role due to government cloud data access requirements. • Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar), including query tuning and performance optimization at scale. • Experience owning data pipeline reliability and incident response, and comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation. • Independent ownership mindset: you can pick up an unfamiliar piece of production infrastructure, use AI-assisted research and code exploration to ramp quickly, and take on-call responsibility with minimal oversight.

🏖️ Avantages

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities

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