Senior Analytics Engineer

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Blockchain, Financial Technology, CybersecurityIndustries

Requirements

Candidates should have 8+ years of experience in analytics engineering, data engineering, or data science with a strong focus on building and scaling analytics workflows. They must possess strong experience across the entire Data Engineering lifecycle, deep proficiency in SQL, and experience developing robust, modular data models using dbt or equivalent tools. Strong software engineering fundamentals, including experience with Python, CI/CD pipelines, and automated testing, are required. Proficiency in defining robust and scalable data models, using LLMs, hands-on experience with cloud data warehouses and infrastructure (e.g., Snowflake, BigQuery, Redshift), and data orchestration tools (e.g., Airflow, Dagster, Prefect) are necessary. Proficiency in developing compelling dashboards using tools like Looker, Tableau, Power BI, or Plotly, and excellent communication skills are also essential.

Responsibilities

The Senior Analytics Engineer will lead the development and optimization of analytics pipelines and data models that power TRM’s products, investigations, and decision-making. They will define and implement best practices in analytics engineering, including testing, observability, versioning, and documentation, to improve development workflows and data reliability. Responsibilities include improving the scalability and maintainability of the analytics data ecosystem through architectural decisions and tooling improvements, partnering with data scientists, data engineers, product, and business teams to deliver production-ready datasets, and establishing best-in-class data quality solutions. The role involves investigating performance issues and implementing creative solutions to improve long-term reliability, cost, and developer experience, driving the adoption of modern data tools and workflows, and contributing to team on-call responsibilities to support the health and availability of the analytics and data science infrastructure.

Skills

Analytics Engineering

Data Engineering

Data Science

Data Modeling

Data Pipelines

Blockchain Data

Threat Intelligence

SQL

Observability

Versioning

Documentation

Testing

TRM Labs

Blockchain intelligence for financial crime detection

About TRM Labs

TRM Labs focuses on blockchain intelligence to assist financial institutions, cryptocurrency businesses, and government agencies in identifying and investigating financial crimes and fraud related to cryptocurrencies. The company utilizes advanced data engineering, data science, and threat intelligence to provide tools and insights that help clients combat illicit activities in the crypto sector. TRM Labs serves a wide range of clients, including banks and regulatory bodies, and generates revenue through subscription-based services and customized solutions. Its goal is to enhance the security and integrity of the global financial system by offering comprehensive blockchain analytics and investigative capabilities.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$146MTotal Funding

SERIES_BCompany Stage

Data & Analytics, FintechIndustries

201-500Employees

Benefits

Remote Work Options

Annual Company Offsite

Professional Development Budget

Risks

Increased scrutiny in the UK could affect operations and partnerships in the region.

Collaboration with Tether and TRON may expose TRM Labs to reputational risks.

Cyberattack vulnerabilities in crypto exchanges could impact TRM Labs' clients.

Differentiation

TRM Labs specializes in blockchain intelligence for financial crime detection and investigation.

The company collaborates with major firms like PayPal, Visa, and government agencies.

TRM Labs offers subscription-based services and customized solutions for diverse client needs.

Upsides

Partnership with Four Inc. could increase government contracts in U.S. public sector.

Success in freezing $100 million in assets highlights effectiveness in public-private partnerships.

Collaboration with DeFi platforms like 1inch enhances influence in decentralized finance.

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