Senior Software Engineer, Data Platform

TRM Labs

. Build highly reliable data services integrating with dozens of blockchains .

Posted 9/23/2026full-timeRemote • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting distributed systems and developing complex ETL pipelines, with a strong focus on performance, scalability, and real-time data processing. Proficient in leveraging advanced data processing technologies and cloud infrastructure to enhance data services and product offerings.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline OrchestrationDistributed System ArchitectureCloud Infrastructure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentData ModelingData ProcessingStreaming TechnologiesDatabase Query OptimizationData TransformationObservability DashboardsAI FluencyPerformance MonitoringAutomation Scaling

Soft Skills

CollaborationProblem-SolvingStakeholder Engagement

Tools & Technologies

AirflowDBTSparkKafkaFlinkDockerTerraformKubernetesDatadogBigQuery

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

BlockchainData ServicesPublic Cloud PlatformsData StoresData Engines

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerETLKafkaKubernetesPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Build highly reliable data services integrating with dozens of blockchains
Develop complex ETL pipelines processing petabytes of structured and unstructured data in real time
Design and architect data models optimized for storage, retrieval, and sub-second blockchain-data query latency
Oversee deployment and monitoring of large database clusters with a focus on performance and high availability
Collaborate with data scientists, backend engineers, and product managers to design and implement data models enhancing TRM products
Build scalable self-service automation for database and cluster scaling and maintenance
Identify 80/20 opportunities to shorten delivery timelines and prioritize must-have functionality
Build first-version “skateboards,” such as observability dashboards, and iterate based on stakeholder feedback

Requirements

What you’ll need

Bachelor's degree (or equivalent) in Computer Science or a related field
5+ years of hands-on experience architecting distributed system architecture and guiding projects from ideation through production deployment
Exceptional programming skills in Python
Proficiency in SQL or SparkSQL
Experience with data stores and engines such as Iceberg, Trino, BigQuery, StarRocks, and Citus
Proficiency with data pipeline and workflow orchestration tools such as Airflow and DBT
Expertise in data processing and streaming technologies including Spark, Kafka, and Flink
Experience deploying and monitoring infrastructure in public cloud platforms
Proficiency with Docker, Terraform, Kubernetes, and Datadog
Ability to load, query, and transform extensive datasets
AI fluency, including applying AI to accelerate workflows, structure and solve problems, improve output quality, and increase speed and leverage

Benefits

Comp & perks

Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements
Remote work environment
Distributed-first company with global collaboration
Professional growth and onboarding support
Interview preparation guidance
Reasonable accommodations for applicants with disabilities