Skip to main content

Applications Developer III

Posted today

arsiemArlington (VA)

SENIORITY

Senior

Apply (opens in a new tab)

About the role

AWS Data Automation EngineerARSIEM 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 initiativesCreate automation workflows for malware sample collection, detonation, and taxonomyImplement data integration automation between pilot and production systemsSupport Automated Malware Analysis (AMA) platform development and enhancementDevelop scripts and tools to automate repetitive technical tasksCreate data transformation and normalization automationSupport AI/ML data preparation and feature engineering automationDevelop monitoring and alerting automation for integrated systemsImplement API integrations for data sharing and workflow automationDocument automation solutions and maintain code repositoriesSupport scaling automation from pilot to production environmentsOptimize automation performance and efficiencyCollaborate with analysts to identify automation opportunitiesEnsure automation solutions maintain data quality and integritySupport continuous improvement of automated capabilitiesMinimum QualificationsBS 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 developmentSubject matter expertise of core AWS components including VPCs, EC2, EKS, IAM, SQS, SNS, Lambda, and Route 53 Experience with data ingestion pipeline design on AWSExperience with S3 data storage architecture and schema design for analytic workflowsStrong programming skills in Python, with experience in data manipulation librariesExperience developing data pipelines and ETL processesKnowledge of automation frameworks and orchestration toolsExperience with APIs and integration technologiesUnderstanding of database systems and data modelingFamiliarity with version control (Git) and CI/CD practicesAbility to translate business requirements into automated solutionsStrong analytical and problem-solving skillsExcellent documentation and communication abilitiesPreferred QualificationsExperience with malware analysis automation or cybersecurity toolsExperience with AWS support service configurations (AWS Budget, EMR, Kinesis, GuardDuty, Cloudwatch, OpsWorks) Knowledge of AI/ML pipelines and data preparationExperience with workflow orchestration tools (Airflow, Prefect) Background in cybersecurity or threat intelligence automationExperience with containerization and orchestration (Docker, Kubernetes) Knowledge of streaming data platforms (Kafka, Kinesis) Familiarity with big data technologies (Spark, Hadoop) Experience supporting federal cybersecurity programsDoD 8140 IAT Level IIICSSLPClearance Requirement: This position requires an Active TS/SCI clearance and the ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability. Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $3,500, and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment. ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this