Senior Software Engineer, Data Product

🕒 il y a 9 jours

🇺🇸 États-Unis – Télétravail

💵 $190 000 - $220 000 / an

⏰ Temps Plein

🟠 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

• Build highly scalable features that integrate with dozens of blockchains. • Design and architect intricate data models. • Collaborate across departments to design and implement novel data models. • Write clear design docs and share tradeoffs.

🎯 Exigences

• 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. • In-depth experience with data stores such as BigQuery and Postgres. • You’ve owned 0–1 systems: building pipelines, data platforms, or ML/BI workflows from scratch—not just maintaining legacy. • 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.

🏖️ Avantages

• TRM’s equity plan • Wellness programs

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