AWS Data Automation Engineer

Node.Digital

United States

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K matching

Paid time off

Job summary

Node.Digital in Arlington, VA is seeking an AWS Data Automation Engineer to support a U.S. Government customer on-site. You will develop automated data pipelines, data transformation, and integration workflows to scale incident response capabilities.

The role requires 5+ years in automation/data engineering, strong Python skills, and hands-on AWS experience. You will collaborate with analysts, implement API integrations, and help advance AI/ML data preparation while maintaining data quality.

Qualifications

U.S. Citizenship is required.
Active Secret clearance; TS/SCI preferred.
5+ years of experience in automation engineering, data engineering, or software development.
Knowledge of core AWS services (VPC, EC2, EKS, IAM, SQS, SNS, Lambda, Route 53).
Experience with data ingestion pipelines on AWS.
Experience with S3 data storage for analytic workflows.
Strong Python skills and data manipulation.
Experience with ETL processes and data pipelines.
Familiarity with version control and CI/CD practices.

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 platform development and enhancements.
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.
Scale automation from pilot to production environments.
Optimize automation performance and efficiency; collaborate with analysts to identify opportunities.
Ensure data quality and integrity; support continuous improvement of automation capabilities.

Skills

Python

AWS components

Data pipelines

ETL

APIs

Git/CI-CD

Data modeling

Automation

Troubleshooting

Education

BS in Computer Science, Data Science, or related degree

HS Diploma + 7+ years experience

Tools

Docker

Kubernetes

Airflow

Prefect

Git

CI/CD

Job description

AWS Data Automation Engineer

Location: Arlington, VA

Must have an active Top Secret Security Clearance

Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services.

Node is seeking an AWS Data Automation Engineer to support this critical customer mission.

The Data Automation Engineer will develop and implement automation solutions to support technology integration activities, focusing on data pipeline development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

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
Support scaling automation from pilot to production environments
Optimize automation performance and efficiencyCollaborate with analysts to identify automation opportunities
Ensure automation solutions maintain data quality and integrity
Support continuous improvement of automated capabilities

Requirements

Required Skills:

U.S. Citizenship
Active Secret clearance; TS/SCI preferred
Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
5+ years of experience in automation engineering, data engineering, or software development
Subject matter expertise of core AWS components including VPCs, EC2, EKS, IAM, SQS, SNS, Lambda, and Route 53
Experience with data ingestion pipeline design on AWS
Experience with S3 data storage architecture and schema design for analytic workflows
Strong programming skills in Python, with experience in data manipulation libraries
Experience developing data pipelines and ETL processes
Knowledge of automation frameworks and orchestration tools
Experience with APIs and integration technologies
Understanding of database systems and data modeling
Familiarity with version control (Git) and CI/CD practices
Strong problem-solving and analytical skills
Ability to translate business requirements into automated solutions
Strong analytical and problem-solving skills
Excellent documentation and communication abilities

Desired Skills:

Experience with malware analysis automation or cybersecurity tools
Experience with AWS support service configurations (AWS Budget, EMR, Kinesis, GuardDuty, Cloudwatch, OpsWorks)
Knowledge of AI/ML pipelines and data preparation
Experience with workflow orchestration tools (Airflow, Prefect)
Background in cybersecurity or threat intelligence automation
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of streaming data platforms (Kafka, Kinesis)
Familiarity with big data technologies (Spark, Hadoop)
Experience supporting federal cybersecurity programs

Required Education:

BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience

Desired Certifications: