AWS Data Automation Engineer — TS Clearance (Cyber Defense)

Node.Digital LLC; Arlington (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K matching

Paid holidays

Job summary

Node is seeking an AWS Data Automation Engineer to support a critical government mission in Arlington, VA. You will develop automation solutions for data pipelines, analytics workflows, and integration automation to scale capabilities.

The role requires strong Python skills, AWS data ingestion experience, and expertise across core AWS services. A TS clearance is preferred for this on-site position, with opportunities to advance automation capabilities across teams.

Qualifications

• 5+ years in automation engineering, data engineering, or software development.
• Core AWS components: VPC, EC2, EKS, IAM, SQS, SNS, Lambda, Route 53.
• Experience with data ingestion pipelines on AWS.
• Strong Python programming and data manipulation.
• Experience with APIs and integration technologies.

Responsibilities

• Develop automated data pipelines for technology integration initiatives.
• Create automation workflows for data collection, detonation, and taxonomy similar to malware analysis workflows.
• Implement data integration automation between pilot and production systems.
• Support automation platform development and enhancement with monitoring and alerting.

Skills

Automation

AWS

Python

Data pipelines

CI/CD

Git

Problem solving

Education

BS in CS/DS or related

HS Diploma +7 years experience

Tools

Docker

Kubernetes

Airflow

Prefect

Git & CI/CD

Job description

Node is seeking an AWS Data Automation Engineer to support a critical government mission in Arlington, VA. You will develop automation solutions for data pipelines, analytics workflows, and integration automation to scale capabilities.

The role requires strong Python skills, AWS data ingestion experience, and expertise across core AWS services. A TS clearance is preferred for this on-site position, with opportunities to advance automation capabilities across teams.