Senior Software Engineer, Data Product - US

BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Data Product team collaborates with an experienced group of data scientists, engineers, and product managers to build highly scalable features that power TRM's products and services. As a Senior Data Engineer on the Data Product team, you will be responsible for designing and building mission-critical data services. These features analyze and provide insights into blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.. The impact you’ll have here: - Build highly scalable features that integrate with dozens of blockchains. - Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. - Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. - Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. - You’ll work closely with product managers, data scientists, and customer-facing teams to deeply understand user needs and translate them into scalable data solutions.” - Our best engineers are also exceptional communicators. They write clear design docs, proactively share tradeoffs, and build alignment across disciplines. - Bonus: Experience with LLMs or AI-powered workflows (e.g., prompt engineering, internal tooling, semantic search). What we’re looking for: - 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. - 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 BigQuery and Postgres. - You’ve owned 0–1 systems: building pipelines, data platforms, or ML/BI workflows from scratch—not just maintaining legacy.” - You simplify complexity. You’re skilled at writing and communicating technical decisions clearly to both technical and non-technical stakeholders. - You’re cost-conscious: you design for performance, scale, and efficiency. - You’ve mentored engineers or analysts and enjoy leveling up those around you - In-depth experience with data stores such as BigQuery and Postgres. - 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 About the Team: - Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync. - The diversity of perspectives and expertise within ou