AWS Data Automation Engineer

Virginia
|7 years of exp
|Full Time

Posted: 1 month ago

Job Location

Virginia

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

Git

LAMBDA

ec2

Data Modeling

SQS

Data Pipelines

AWS

Database Systems

IAM

Automation Frameworks

Route 53

APIs

SNS

CI/CD

EKS

VPCs

Integration Technologies

ETL Processes

Data Manipulation Libraries

Orchestration Tools

Data Ingestion Pipeline Design on AWS

S3 Data Storage Architecture

Schema Design for Analytic Workflows

About the job

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 efficiency
Collaborate 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: