Senior Analytics Engineer

About the position

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. As a Senior Analytics Engineer on our Advanced Analytics team, you will help mature and scale the foundation of our analytics data ecosystem. You’ll play a leading role in shaping best practices in analytics engineering and will be instrumental in driving data architecture, quality, performance, and reliability across the organization. This is a high-impact, senior-level role built for someone who brings a strong background in analytics/data engineering and data science, and who can thrive in ambiguous environments and independently drive critical initiatives that improve how we model, transform, and use data across TRM. Within 6–12 months, your work will have improved the scalability and reliability of our analytics infrastructure and established the gold standard for analytics engineering practices across the team.

Responsibilities

• Lead the development and optimization of analytics pipelines and data models that power TRM’s products, investigations, and decision-making.
• Define and implement best practices in analytics engineering (e.g., testing, observability, versioning, documentation).
• Improve the scalability and maintainability of our analytics data ecosystem.
• Partner closely with data scientists, data engineers, product and business teams to deliver production-ready datasets.
• Establish best-in-class data quality solutions to increase the reliability and accuracy of our data.
• Investigate performance issues and bring creative, durable solutions to improve long-term reliability.
• Drive adoption of modern data tools and workflows.
• Contribute to team on-call responsibilities that support the health and availability of our analytics and data science infrastructure.

Requirements

• 8+ years of experience in analytics engineering, data engineering, or data science.
• Strong 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 environment.
• Strong software engineering fundamentals, including experience with Python, CI/CD pipelines, and automated testing.
• Proficiency in defining robust and scalable data models using best practices.
• Experience using LLMs as well enabling AI through high quality data infrastructure.
• Hands-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 similar.
• Excellent communication skills.

Benefits

• Work alongside top experts and learn every day.
• Embrace a growth mindset with development opportunities tailored to your role.
• Take on high-impact challenges in a fast-paced, collaborative environment.