Senior Data Engineer, TS/SCI Poly | Secure Cloud Pipelines

Cornerstone Defense LLC; Fairfax (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(K) match

Tuition assistance

Paid vacation/leave

Fitness reimbursement

Job summary

Cornerstone Defense LLC in Tysons Corner, VA is seeking a Sr. Data Engineer to build and operate data pipelines in a secure, classified environment.

You will collaborate with cross-functional teams to enable data brokering across producers and consumers, deploying Python-native pipelines and cloud infrastructure. The role requires 4+ years in data engineering, strong AWS, IaC (Terraform/CloudFormation/Ansible), RMF security, and proficiency in Go, Python, and Bash.

Qualifications

• 4+ years of proven experience in data engineering and building data ingestion/processing pipelines.
• Experience deploying data pipelines on AWS cloud across secure environments (e.g., IL5+).
• Experience with Infrastructure-as-Code tools: Terraform, CloudFormation, or Ansible.
• Understanding RMF security principles and implementing controls for cloud data pipelines.
• Proficient in Go, Python, and Bash for data processing and tooling.
• Experience with NiFi, Hadoop, HDFS, and Kafka; Cloudera experience is highly preferred.

Responsibilities

• Build, deploy, and operate data pipelines for data brokering across producers/consumers.
• Operationalize data pipelines and cloud infrastructure.
• Collaborate with external data producers/consumers via interfaces like REST APIs and S3.
• Provide Tier 2/3 support and incident resolution for production data pipelines.

Skills

Data engineering

AWS

Go

Python

Bash

RMF security

Data pipelines

Cloud security

Tools

Terraform

CloudFormation

Ansible

NiFi

Hadoop

Kafka

Cloudera

Job description

Cornerstone Defense LLC in Tysons Corner, VA is seeking a Sr. Data Engineer to build and operate data pipelines in a secure, classified environment.

You will collaborate with cross-functional teams to enable data brokering across producers and consumers, deploying Python-native pipelines and cloud infrastructure. The role requires 4+ years in data engineering, strong AWS, IaC (Terraform/CloudFormation/Ansible), RMF security, and proficiency in Go, Python, and Bash.