Senior Software Engineer, Data Platform

🕒 September 23

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

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TRM Labs

WebsiteLinkedInAll Job Openings

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 reliable data services integrating with dozens of blockchains • Develop complex real-time ETL pipelines processing petabytes of structured and unstructured data • Design and architect data models optimized for storage, retrieval, and sub-second blockchain-data queries • Oversee deployment and monitoring of large database clusters with focus on performance and high availability • Collaborate with data scientists, backend engineers, and product managers on novel data models • Build scalable self-serve automation for database creation, disk scaling, and cluster scaling/updating • Identify 80/20 opportunities to shorten deployment and operational timelines • Deliver first-version “skateboard” projects such as observability dashboards and iterate based on stakeholder feedback

🎯 Requirements

• Bachelor's degree (or equivalent) in Computer Science or a related field • 5+ years of hands-on experience architecting distributed system architecture and guiding projects from ideation through production deployment • Exceptional programming skills in Python • Adeptness in SQL or SparkSQL • Experience with data stores and engines such as Iceberg, Trino, BigQuery, StarRocks, and Citus • Proficiency with data pipeline and workflow orchestration tools such as Airflow and DBT • Expertise in data processing and streaming technologies including Spark, Kafka, and Flink • Competence deploying and monitoring infrastructure in public cloud platforms using Docker, Terraform, Kubernetes, and Datadog • Ability to load, query, and transform extensive datasets • Applied AI fluency • Willingness and ability to participate in on-call requirements

🏖️ Benefits

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

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