Senior Data Engineer – Scalable Blockchain Data

Apply; Northern (KY); Hybrid; USD 200,000 - 250,000; Full time

Job summary

TRM Labs is seeking a Senior Data Engineer to design and build mission-critical data services that power blockchain analytics at petabyte scale. You will work with data scientists, backend engineers, and product managers to architect scalable data models with sub-second query latency.

The role emphasizes Python, SQL/SparkSQL, and data stores like BigQuery and Postgres, plus orchestration with Airflow, DBT, and cloud tooling. A strong track record in distributed systems is required.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 5+ years of hands-on experience in architecting scalable API development and distributed systems.
• Exceptional Python programming and SQL or SparkSQL skills.
• Versatility across data stores and data pipelines, incl. BigQuery and Postgres.
• Proficiency with Airflow, DBT, and modern data orchestration.
• Experience with cloud tooling: Docker, Terraform, Kubernetes, Datadog.

Responsibilities

• Design and build mission-critical data services for TRM's data platforms.
• Analyze and provide insights into blockchain activity at petabyte scale.
• Collaborate with data scientists, backend engineers, and product managers.
• Architect data models enabling sub-second query latency.
• Mentor engineers and communicate technical decisions clearly.

Skills

Python

SQL

SparkSQL

BigQuery

Postgres

Airflow

DBT

Dataflow

Spark

Kafka

Flink

Docker

Terraform

Kubernetes

Datadog

API design

Distributed systems

Education

Bachelor's in CS

Experience in scalable API development

Tools

BigQuery

Postgres

Airflow

DBT

Job description

TRM Labs is seeking a Senior Data Engineer to design and build mission-critical data services that power blockchain analytics at petabyte scale. You will work with data scientists, backend engineers, and product managers to architect scalable data models with sub-second query latency.

The role emphasizes Python, SQL/SparkSQL, and data stores like BigQuery and Postgres, plus orchestration with Airflow, DBT, and cloud tooling. A strong track record in distributed systems is required.