Senior Data Engineer - Scalable Data Platform (Remote)

TRM Labs Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 190,000 - 220,000; Full time

Job summary

TRM Labs is seeking a Senior Data Engineer to join the Data Product team. You will design and build scalable data services, architect data models, and enable fast, reliable access to blockchain transaction insights.

You will partner with data scientists, engineers, and product managers to ship high-impact data solutions. The role emphasizes ownership, performance, and cross-team collaboration in a distributed-first company that values AI fluency and continuous improvement.

Qualifications

• 5+ years of hands-on experience architecting scalable API development and distributed systems, guiding projects from ideation to production deployment.
• Proficiency in Python and SQL, with strong data modeling and query optimization skills.
• Experience with BigQuery and Postgres; familiarity with data pipelines and orchestration tools.
• Mentoring engineers and collaborating across product, data science, and backend teams.

Responsibilities

• Design and build scalable data services and APIs within the Data Product team.
• Architect robust data models to support sub-second query latency across multiple chains.
• Collaborate with data scientists, backend engineers, and product managers to deliver scalable data solutions.

Skills

Python

SQL

BigQuery

Airflow

DBT

SparkSQL

Kubernetes

Data pipelines

Distributed systems

Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Postgres

Docker

Terraform

Datadog

Dataflow

Spark

Kafka

Flink

Airflow

Job description

TRM Labs is seeking a Senior Data Engineer to join the Data Product team. You will design and build scalable data services, architect data models, and enable fast, reliable access to blockchain transaction insights.

You will partner with data scientists, engineers, and product managers to ship high-impact data solutions. The role emphasizes ownership, performance, and cross-team collaboration in a distributed-first company that values AI fluency and continuous improvement.