Forward Deployed Data Engineer (TS/SCI) at TRM Labs

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Blockchain, Government, Financial ServicesIndustries

Requirements

Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field
4+ years of hands-on experience building and deploying data pipelines in Python
Proven expertise with Apache Airflow (DAG development, scheduler tuning, custom operators)
Strong knowledge of Apache Spark (Spark SQL, DataFrames, performance tuning)
Deep SQL skills—able to optimize queries with window functions, CTEs, and large datasets
Professional experience deploying cloud-native architectures on AWS, including services like S3, EMR, EKS, IAM, and Redshift
Familiarity with secure cloud environments and experience implementing FedRAMP/FISMA controls
Experience deploying applications and data workflows on Kubernetes, preferably EKS
Infrastructure-as-Code proficiency with Terraform or CloudFormation
Skilled in GitOps and CI/CD practices using Jenkins, GitLab CI, or similar tools
Excellent verbal and written communication skills—able to interface confidently with both technical and non-technical stakeholders
Willingness and ability to travel up to 25% to client sites as needed
Active TS/SCI clearance required (Polygraph strongly preferred)

Responsibilities

Partner directly with mission-focused customers to design and deploy secure, scalable cloud-based data lakehouse solutions on AWS (e.g., S3, EMR/EKS, Iceberg or Delta Lake)
Own and deliver production-ready ETL/ELT pipelines using Python, Apache Airflow, Spark, and SQL—optimized for petabyte-scale workloads
Containerize and deploy services on Kubernetes (EKS), using Terraform or CloudFormation for Infrastructure-as-Code and repeatable environments
Design integrations that ingest data from message buses, APIs, and relational databases, embedding real-time analytics capabilities into client workflows
Actively participate in all phases of the software development lifecycle: requirements gathering, architecture, implementation, testing, and secure deployment
Implement observability solutions (e.g., Prometheus, Datadog, NewRelic) to uphold SLAs and drive continuous improvement
Support mission-critical systems in production environments—resolving incidents alongside customer operations teams

Skills

Key technologies and capabilities for this role

PythonApache AirflowSparkSQLAWSS3EMREKSKubernetesTerraformCloudFormationETLELTIcebergDelta Lake

Questions & Answers

Common questions about this position

What are the key required skills for this Forward Deployed Data Engineer role?

The role requires 4+ years of hands-on experience building and deploying data pipelines in Python, proven expertise with Apache Airflow including DAG development and scheduler tuning, strong knowledge of Apache Spark with Spark SQL and performance tuning, deep SQL skills for optimizing queries on large datasets, and professional experience deploying cloud-native architectures on AWS services like S3, EMR, and EKS.

Is this Forward Deployed Data Engineer position remote or office-based?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at TRM Labs?

TRM Labs features a mission-driven, fast-paced team of experts in law enforcement, data science, engineering, and financial intelligence, focused on tackling complex global challenges and building a safer financial system.

What makes a strong candidate for this Forward Deployed Data Engineer position?

A strong candidate holds a Bachelor's degree in Computer Science or related field, has 4+ years building data pipelines in Python, expertise in Apache Airflow and Spark, deep SQL skills, AWS deployment experience, and familiarity with secure cloud environments like FedRAMP/FISMA controls.

TRM Labs

Blockchain intelligence for financial crime detection

About TRM Labs

TRM Labs focuses on blockchain intelligence to assist financial institutions, cryptocurrency businesses, and government agencies in identifying and investigating financial crimes and fraud related to cryptocurrencies. The company utilizes advanced data engineering, data science, and threat intelligence to provide tools and insights that help clients combat illicit activities in the crypto sector. TRM Labs serves a wide range of clients, including banks and regulatory bodies, and generates revenue through subscription-based services and customized solutions. Its goal is to enhance the security and integrity of the global financial system by offering comprehensive blockchain analytics and investigative capabilities.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$146MTotal Funding

SERIES_BCompany Stage

Data & Analytics, FintechIndustries

201-500Employees

Benefits

Remote Work Options

Annual Company Offsite

Professional Development Budget

Risks

Increased scrutiny in the UK could affect operations and partnerships in the region.

Collaboration with Tether and TRON may expose TRM Labs to reputational risks.

Cyberattack vulnerabilities in crypto exchanges could impact TRM Labs' clients.

Differentiation

TRM Labs specializes in blockchain intelligence for financial crime detection and investigation.

The company collaborates with major firms like PayPal, Visa, and government agencies.

TRM Labs offers subscription-based services and customized solutions for diverse client needs.

Upsides

Partnership with Four Inc. could increase government contracts in U.S. public sector.

Success in freezing $100 million in assets highlights effectiveness in public-private partnerships.

Collaboration with DeFi platforms like 1inch enhances influence in decentralized finance.

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