Hybrid Forward Deployed Data Engineer- FS Poly- Up to $260K
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Role details
Tech stack
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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
Benefits & conditions
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.
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