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Salary
≈ $99k – $186k per year (Estimated)
Location
In office (Arlington)
Seniority
Middle · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Jul 11, 2026. ARSIEM scores D on the Alion truth index.

Overview
Company
Impact
Profile match
ARSIEM Corporation is a US government contractor that delivers cybersecurity, enterprise architecture, applications development, embedded software development and software test and evaluation services to Department of Defense and intelligence community customers. Founded in 2013 by chief executive R. Chuck Matthews, the company supports several federal agencies, with much of its current work for a government client in Arlington, Virginia, in cyber defence, forensics and lab infrastructure. It hires information systems security engineers, host and network systems analysts, incident handlers, embedded systems researchers, lab managers and cyberspace operations instructors.

ARSIEM is looking for an AWS Data Automation Engineer to 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. This position will support one of our Government clients in Arlington, VA.

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

Minimum Qualifications

  • BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience
  • 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
  • Ability to translate business requirements into automated solutions
  • Strong analytical and problem-solving skills
  • Excellent documentation and communication abilities

Preferred Qualifications

  • 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
  • DoD 8140 IAT Level III
  • CSSLP
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