Senior Software Engineer, Data Platform

Overview TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you\'ll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you\'ll have the opportunity to make a meaningful and lasting impact. Responsibilities 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. Qualifications 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 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. About the Team The Data Platform team acts as the bridge between TRM\'s data world and product world, caring for petabyte-scale data stores, pipelines, and processes. We work on a broad scope with new projects each quarter and collaborate across most teams at TRM. We value async communication and are ready to jump on quick huddles when faster progress is needed; we balance scrappiness with process to achieve OKRs. We seek people who elevate the quality of our tech and execution in a remote-first, async-friendly environment at petabyte scale. Team members are based in the US across timezones, with on-call shifts typically in EST/PST. We aim to keep ICs from spending more than 3-4 hours per week in meetings. Compensation and Benefits Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed reflect the US base salary only. The estimated base salary range for this role is $190,000 - $220,000. Additionally, this role may be eligible to participate in TRM’s equity plan. Please note – we factor in the different costs for geographies outside the United States. #J-18808-Ljbffr