The Role
Design and implement automated AWS data pipelines and workflows for malware analysis and technology integration. Build ETL, data transformation, API integrations, monitoring, and scale automation from pilot to production while ensuring data quality, documenting solutions, and collaborating with analysts.
Summary Generated by Built In
About ARSIEM Corporation
At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support.
As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with.
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
Clearance 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.
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.
Skills Required
- BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years relevant experience
- 5+ years experience in automation engineering, data engineering, or software development
- Subject matter expertise with AWS components: VPC, EC2, EKS, IAM, SQS, SNS, Lambda, 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, including 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
- Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance and ability to obtain DHS Entry on Duty (EOD) Suitability
- Experience with malware analysis automation or cybersecurity tools
- Experience with AWS support services (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 supporting federal cybersecurity programs
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis) and big data technologies (Spark, Hadoop)
- DoD 8140 IAT Level III and/or CSSLP
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The Company
What We Do
ARSIEM Corporation is a proven and trusted partner to its government clients. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM Corporation continues to provide reliable and cutting edge technical solutions at the best value to our clients. Our primary customer includes multiple agencies across the United Sates Government. ARSIEM has the experience, capability, and knowledge to deliver innovative IT solutions on a timely basis.
