Hybrid Forward Deployed Data Engineer- FS Poly- Up to $260K
$260,000–$260,000 year
HybridReston, Virginia, United States
Job Summary
Deploy SaaS products for government customers from initial setup through configuration and maintenance, scaling solutions with organizational maturity. Manage cloud-native architectures on AWS, including S3, EMR, EKS, IAM, and Redshift, while optimizing SQL queries using window functions and CTEs for large datasets. Lead secure deployment of ML models and LLM pipelines in production, implementing FedRAMP/FISMA controls and utilizing GitOps with Jenkins or GitLab CI. Collaborate within a hybrid remote team, requiring 50% onsite time within one hour of the DC metro area. This role demands an active TS/SCI + FS Poly clearance and leverages a robust benefit package with competitive compensation up to $260K.
Required Qualifications
- 5+ years of experience developing and deploying in Python
- Experience with LLM or AI/ML pipelines and secure deployment of ML models in production
- Experience deploying cloud-native architectures on AWS to include S3, EMR, EKS, IAM and Redshift
- Experience with SQL to include optimizing queries with window functions, CTEs, and large datasets
- Familiarity with Apache Airflow
- Experience implementing FedRAMP/FISMA controls
- Experience in a customer facing role
- Kubernetes experience, preferably EKS
- Proficient with Terraform or CloudFormation
- Experience in GitOps and CI/CD - Jenkins, GitLab, CI or similar
- The estimated amount of onsite time is 50%
- Candidates must live within one hour of the DC, metro area
- This role requires an active TS/SCI + FS Poly level government clearance
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