Hybrid Enterprise Data Engineer- FS Poly- Up to $260K

stanleyreid•Reston, VA

3d•Hybrid

About The Position

Our client is an enterprise company developing and providing solutions to its customers both commercial and federal. They are committed to fighting financial crime by detecting and investigating illicit activities like fraud, money laundering, and terrorist financing through digital asset tracing. They are seeking an Enterprise Data Engineer to work directly with government customers to take their SaaS products from initial setup and implementation to configuration and maintenance, and also scale with maturity. You will be a member of a very fast paced hybrid remote team. The estimated amount of onsite time is 50% and candidates must live within one hour of the DC, metro area. This role requires an active TS/SCI + FS Poly level government clearance.

Requirements

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
Must live within one hour of the DC, metro area
Active TS/SCI + FS Poly level government clearance

Responsibilities

Work directly with government customers to take their SaaS products from initial setup and implementation to configuration and maintenance
Scale SaaS products with maturity