TRM Labs13.02.26
AI SCORE 8.5

Forward Deployed Data Engineer - Remote Position

$200K–$260K/year

About the Role

We are seeking a talented Forward Deployed Data Engineer to join our mission-driven team at TRM Labs. In this remote position, you will play a crucial role in building solutions that protect civilization. As a Forward Deployed Data Engineer, you will work directly with our government customers, bridging our SaaS offerings with federated capabilities and cloud architectures. Your contributions will help secure regulated industries and scale our solutions effectively.

What You'll Do

  • Partner with mission-focused customers to design and deploy secure, scalable cloud-based data lakehouse solutions on AWS.
  • 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), utilizing Terraform or CloudFormation for Infrastructure-as-Code.
  • Design integrations that ingest data from message buses, APIs, and relational databases, embedding real-time analytics capabilities into client workflows.
  • 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.

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.

Nice to Have

  • 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).

What We Offer

  • Competitive salary range of $200,000 - $260,000 per year.
  • Eligibility to participate in TRM’s equity plan.
  • Opportunity to work on impactful projects that protect civilization.
  • Flexible remote work environment with a high-velocity team.
  • Engaging company culture that values ownership, clarity, and follow-through.
  • Access to continuous learning and professional development opportunities.
  • Supportive team dynamics with regular communication and collaboration.
  • Travel opportunities to client sites for hands-on engagement.
Why This Job8.5 of 10

This role offers a unique opportunity to work on impactful projects in a high-velocity environment, with a competitive salary and remote flexibility.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and experienced in building ETL pipelines using Apache Airflow and Apache Spark, demonstrating the ability to handle large-scale data processing and orchestration.

Self-motivated and disciplined for remote work, with a strong ability to manage time effectively and deliver projects independently while maintaining communication with government clients.

Hands-on experience with AWS services, Kubernetes, Terraform, and CloudFormation, showcasing a solid understanding of cloud infrastructure and deployment automation, necessary for bridging SaaS offerings.

Learning Resources

Python for Data Engineeringcourse

Career Path

Forward Deployed Data Engineer(Now)Data Engineering Team Lead(1-2 years)Director of Data Engineering(3-5 years)

Market Overview

Market Size 2024
$20B
Annual Growth
12.5%
AI Adoption
75%
Investment
+50%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
PythonApache AirflowApache Spark
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Kafka
Declining
MapReduceHadoop

Domain Trends

Rise of DataOps
DataOps practices are being adopted by 60% of organizations to improve data pipeline efficiency and collaboration.
Increased Cloud Migration
Over 70% of companies are migrating their data workloads to cloud platforms, driving demand for cloud-based data engineering skills.
Focus on Real-time Data Processing
The demand for real-time data processing solutions has surged by 40%, with organizations prioritizing technologies like Apache Kafka and Spark.

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