Senior Data Platform Engineer | Remote Impact at Scale

TRM Labs; United States; On-site; USD 190,000 - 220,000; Full time

Job summary

TRM Labs is seeking a Senior Software Engineer for the Data Platform team to build mission-critical systems that analyze blockchain activity at petabyte scale and support TRM’s mission of a safer financial system.

You’ll design reliable data services, develop real-time ETL pipelines, and collaborate with data scientists, backend engineers, and product managers to deliver scalable data models and high-availability infrastructure across multiple clouds.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5+ years in distributed systems architecture.
• Strong Python skills; solid SQL or SparkSQL.
• Experience with Iceberg, Trino, BigQuery, StarRocks, Citus.
• Experience with Airflow, DBT and data pipelines.
• Experience with Spark, Kafka, Flink.
• Cloud deployment with Docker, Terraform, Kubernetes, Datadog.
• Loading and transforming large datasets.

Responsibilities

• Build reliable data services to integrate with blockchains.
• Develop real-time ETL pipelines for petabytes of data.
• Design data models for low-latency storage and retrieval.
• Deploy and monitor large database clusters for high availability.
• Collaborate with data scientists, backend engineers, and product managers.

Skills

Python

SQL / SparkSQL

Distributed systems

Iceberg

Trino

BigQuery

StarRocks

Citus

Airflow

DBT

Spark

Kafka

Flink

Docker

Terraform

Kubernetes

Datadog

Data loading / transformation

Education

Bachelor's degree in Computer Science or related field

Tools

Iceberg

Trino

BigQuery

StarRocks

Citus

Airflow

DBT

Spark

Kafka

Flink

Docker

Terraform

Kubernetes

Datadog

Job description

TRM Labs is seeking a Senior Software Engineer for the Data Platform team to build mission-critical systems that analyze blockchain activity at petabyte scale and support TRM’s mission of a safer financial system.

You’ll design reliable data services, develop real-time ETL pipelines, and collaborate with data scientists, backend engineers, and product managers to deliver scalable data models and high-availability infrastructure across multiple clouds.