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

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 a 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.

Successful Enterprise Data Engineer will have:
-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

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.  They offer a robust benefit package, including competitive compensation, comprehensive insurance, flexible work arrangements and a commitment to diversity and inclusion.  Base salary is up to $260K for highly qualified candidates.