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Forward Deployed Data Engineer – Ts/Sci
| Company | TRM Labs |
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| Location | Washington, DC, USA |
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| Salary | $200000 – $260000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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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.
Preferred Qualifications
No preferred qualifications provided.
