Senior Software Engineer, Data Platform

🕒 July 28

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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 to integrate with dozens of blockchains. • Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. • Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. • Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

🎯 Requirements

• A 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 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 Iceberg, Trino, BigQuery, and StarRocks, and Citus. • Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. • Expertise in data processing technologies and streaming workflows including 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work arrangements • Professional development opportunities