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Engineering Manager, Data Engineering

TRM Labs

$220,000 - $240,000
Sep 18, 2025
Remote, US
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TRM Labs is looking for an Engineering Manager to lead and develop a team responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, aiming to build a safer financial system.

Requirements

  • 5+ years of experience building distributed system architecture, from whiteboard to production.
  • Strong programming skills in Python, and SQL or SparkSQL.
  • Data stores (e.g., ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j)
  • Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm)
  • Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink)
  • Deployment and monitoring infrastructure in public cloud platforms (e.g., Docker, Terraform, Kubernetes, Datadog)
  • Loading, querying, and transforming large data sets

Responsibilities

  • Lead and develop a team of talented, high-impact engineers, providing cultural, technical, and hands-on leadership.
  • Provide regular coaching and technical mentorship to your immediate team as well as the broader engineering department.
  • Take direct responsibility for the quality and delivery of the team's work, and manage the end-to-end availability and performance of critical services.
  • Drive work based on goals and measurable outcomes that are accountable to KPIs.
  • Encourage best practices in design and usability, creating scalable engines with thorough documentation and knowledge sharing.
  • Resolve escalations arising from operations and work with various teams to solve production incidents through to resolution.
  • Collaborate with management and product teams to plan, estimate, and prioritize roadmap objectives and identify upcoming opportunities and risks.

Other

  • Bachelor's degree (or equivalent) in Computer Science or a related field.
  • Lead and develop a team of talented, high-impact engineers, providing cultural, technical, and hands-on leadership.
  • Provide regular coaching and technical mentorship to your immediate team as well as the broader engineering department.
  • Drive work based on goals and measurable outcomes that are accountable to KPIs.
  • Collaborate with management and product teams to plan, estimate, and prioritize roadmap objectives and identify upcoming opportunities and risks.