Hybrid Forward Deployed Data Engineer- FS Poly- Up to $260K

stanleyreid; Reston (VA); Hybrid; USD 156,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive insurance

Flexible work arrangements

Diversity and inclusion

Job summary

Our client in Reston, VA seeks a Forward Deployed Data Engineer to work directly with government customers, deploying and scaling SaaS products from initial setup through ongoing configuration and maintenance. The role emphasizes secure, cloud-native architectures on AWS and tight collaboration with a fast-paced hybrid remote team.

Ideal candidates have 5+ years Python, ML pipeline experience, FedRAMP/FISMA, and strong AWS skills (S3, EMR, EKS, IAM, Redshift), plus Kubernetes,

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.

Responsibilities

• Take SaaS products from initial setup and implementation to configuration and maintenance and scale with maturity.
• Work directly with government customers to deliver solutions and ensure success.

Skills

Python

AWS

SQL

Apache Airflow

FedRAMP/FISMA

Kubernetes (EKS)

Terraform/CloudFormation

GitOps/CI/CD

ML/AI pipelines

Customer-facing

Tools

S3

EMR

EKS

Redshift

Job description

Hybrid Forward Deployed Data Engineer- FS Poly- Up to $260K

• Reston, VA

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 Forward Deployed 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 Forward Deployed 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.