[Remote] Senior Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. TRM Labs provides AI-powered intelligence solutions to help agencies investigate and disrupt crime. As a Senior Analytics Engineer on the Advanced Analytics team, you will lead the development and optimization of analytics pipelines and data models, ensuring high-quality data practices and improving the scalability of the analytics data ecosystem.ResponsibilitiesLead the development and optimization of analytics pipelines and data models that power TRM’s products, investigations, and decision-making — enabling teams across the company and our customers (including former FBI, Secret Service, and Europol agents) to detect and respond to financial crime in the crypto spaceDefine and implement best practices in analytics engineering (e.g., testing, observability, versioning, documentation), helping to level up the team’s development workflows and data reliabilityImprove the scalability and maintainability of our analytics data ecosystem, which process large volume of data, through thoughtful architectural decisions and tooling improvementsPartner closely with data scientists, data engineers, product and business teams to deliver production-ready datasets that support models, metrics, and investigative workflowsEstablish best-in-class data quality solutions to increase the reliability and accuracy of our dataInvestigate performance issues, and bring creative, durable solutions to improve long-term reliability, cost and developer experienceDrive adoption of modern data tools and workflows, helping the team evolve toward best-in-class analytics engineering practicesContribute to team on-call responsibilities that support the health and availability of our analytics and data science infrastructure (on-call is lightweight and shared equitably)Skills8+ years of experience in analytics engineering, data engineering, or data science with a strong focus on building and scaling analytics workflowsStrong experience across the entire Data Engineering lifecycle (from ETLs, Data Model design, infra, Data Quality, architecture etc.)Deep proficiency in SQL and experience developing robust, modular data models using dbt (or equivalent tools) in a production environmentStrong software engineering fundamentals, including experience with Python, CI/CD pipelines, and automated testingProficiency in defining robust and scalable data models using best practicesExperience using LLMs as well enabling AI through high quality data infrastructureHands-on experience with cloud data warehouses and infrastructure (e.g., Snowflake, BigQuery, Redshift) and data orchestration tools (e.g., Airflow, Dagster, Prefect)Proficiency in developing compelling dashboards using tools like Looker, Tableau, Power BI, Plotly or similarExcellent communication skills — you can explain complex technical concepts to non-technical audiences and influence key decisions with clarity and dataCompany OverviewTRM Labs is a software company that offers blockchain, transaction monitoring, and analytics to help financial institutions and governments. It was founded in 2018, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://trmlabs.com.Company H1B SponsorshipTRM Labs has a track record of offering H1B sponsorships, with 2 in 2026, 1 in 2025, 4 in 2024, 3 in 2023, 3 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.