TRM Labs
Blockchain intelligence solutions to detect, monitor and investigate fraud and financial crime in digital assets.
Anti-money laundering • Blockchain analysis • Transaction monitoring • Crypto compliance • Blockchain forensics
51 - 200
Staff Software Engineer - Data Platform
May 16
🏡 Remote – Anywhere in California
TRM Labs
Blockchain intelligence solutions to detect, monitor and investigate fraud and financial crime in digital assets.
Anti-money laundering • Blockchain analysis • Transaction monitoring • Crypto compliance • Blockchain forensics
51 - 200
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 8+ 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 ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j • Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm • 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
• Remote-first work environment • Competitive salaries and stock options • Premium health, dental, and vision insurance • FSA, HSA, and 401K programs • Life & disability coverage • Generous paid time for vacation, holidays, and parental leave • Fertility, professional coaching, and mental health resources
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