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Engineering Manager, Data Engineering - US Remote

TRM Labs

full-remoteleadpermanentengineering-managementbackenddata NAMER 6 days ago via LinkedIn

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Tags

Engineering ManagementPythonSQLSparkSQLDistributed SystemsETLKafkaSparkKubernetesData Modeling

About the role

Role Overview

Engineering Manager for Data Engineering (US Remote) at TRM Labs. You will lead a team building mission-critical data services that analyze blockchain transaction activity at petabyte scale and support TRM’s data platform and intelligence products.

Responsibilities

  • Lead and develop a team of high-impact data engineers; provide cultural, technical, and hands-on leadership
  • Coach and mentor engineers and support broader engineering best practices
  • Own quality and delivery, including end-to-end availability and performance of critical services
  • Drive work against goals, measurable outcomes, and KPIs
  • Encourage scalable design, usability, and thorough documentation/knowledge sharing
  • Resolve production escalations and collaborate cross-functionally to drive incidents to resolution
  • Partner with management and product teams to plan, estimate, prioritize, and identify risks/opportunities
  • Build highly reliable data services integrating with dozens of blockchains
  • Develop real-time ETL pipelines for structured and unstructured data at petabyte scale
  • Design data models for sub-second latency querying
  • Deploy and monitor large database clusters for performance and high availability

Requirements

  • Bachelor’s degree in Computer Science or related field (or equivalent)
  • 5+ years building distributed system architecture (whiteboard to production)
  • Strong programming skills in Python and SQL or SparkSQL
  • Experience across the data engineering stack, including:
    • Data stores: ClickHouse, Elasticsearch, PostgreSQL, Redis, Neo4j (examples)
    • Data pipelines/workflow orchestration: Airflow, dbt, Luigi, Azkaban, Storm (examples)
    • Streaming/data processing: Spark, Kafka, Flink (examples)
    • Public cloud deployment/monitoring: Docker, Terraform, Kubernetes, Datadog (examples)

Nice to Have

  • AI-native mindset: ability to leverage modern AI/ML tools and workflows to improve engineering productivity and data processing

Team / Work Model

Team members are distributed across multiple countries and time zones with a culture of trust, transparency, and regular check-ins.

About TRM Labs

TRM Labs provides AI-powered intelligence solutions for public and private sector agencies to investigate and disrupt crime. Its platforms help investigators trace illicit activity, build cases, and map threat networks, including through analysis of blockchain activity at massive scale.

Scraped 5/20/2026

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