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Summary
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.Qualifications5+ years of experience developing and deploying in PythonExperience with LLM or AI/ML pipelines and secure deployment of ML models in productionExperience deploying cloud-native architectures on AWS to include S3, EMR, EKS, IAM and RedshiftExperience with SQL to include optimizing queries with window functions, CTEs, and large datasetsFamiliarity with Apache AirflowExperience implementing FedRAMP/FISMA controlsExperience in a customer facing roleKubernetes experience, preferably EKSProficient with Terraform or CloudFormationExperience in GitOps and CI/CD – Jenkins, GitLab, CI or similarYou 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.#J-18808-Ljbffr
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Job Description
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.Qualifications5+ years of experience developing and deploying in PythonExperience with LLM or AI/ML pipelines and secure deployment of ML models in productionExperience deploying cloud-native architectures on AWS to include S3, EMR, EKS, IAM and RedshiftExperience with SQL to include optimizing queries with window functions, CTEs, and large datasetsFamiliarity with Apache AirflowExperience implementing FedRAMP/FISMA controlsExperience in a customer facing roleKubernetes experience, preferably EKSProficient with Terraform or CloudFormationExperience in GitOps and CI/CD – Jenkins, GitLab, CI or similarYou 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.#J-18808-Ljbffr
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ABOUT THE COMPANY
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