AWS Data Automation Engineer — Onsite Arlington, Top Secret

Node.Digital; Arlington (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K matching

Three weeks PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital seeks an AWS Data Automation Engineer to design and implement automated data pipelines supporting government mission critical workflows. The role emphasizes data ingestion, transformation, and scalable automation across pilot to production environments, using AWS services and scripting to reduce manual tasks.

The engineer will collaborate with analysts to ensure data quality, build monitoring, and enable secure, auditable automation.

Qualifications

• Must have 5+ years in automation engineering, data engineering, or software development.
• Strong programming skills in Python with data manipulation libraries.
• Experience with data ingestion pipelines on AWS.

Responsibilities

• Develop automated data pipelines for technology integration initiatives.
• Create automation workflows for malware sample collection, detonation, and taxonomy.
• Implement data integration automation between pilot and production systems.
• Support Automated Malware Analysis (AMA) platform development and enhancement.
• Develop scripts and tools to automate repetitive technical tasks.
• Create data transformation and normalization automation.
• Support AI/ML data preparation and feature engineering automation.
• Develop monitoring and alerting automation for integrated systems.
• Implement API integrations for data sharing and workflow automation.
• Document automation solutions and maintain code repositories.

Skills

Python

AWS

Automation

Data engineering

ETL

APIs

CI/CD

Git

Education

BS in Computer Science, Data Science, or related

Tools

Docker

Kubernetes

Airflow

Prefect

S3 / data storage design

Job description

Node.Digital seeks an AWS Data Automation Engineer to design and implement automated data pipelines supporting government mission critical workflows. The role emphasizes data ingestion, transformation, and scalable automation across pilot to production environments, using AWS services and scripting to reduce manual tasks.

The engineer will collaborate with analysts to ensure data quality, build monitoring, and enable secure, auditable automation.