Arsiem

IT consulting and cybersecurity for governments

Applications Developer 3

Data EngineeringConfirmed live in the last 24 hours

Full-timeArlington, VA, USAIn-person

About the Job

Requirements

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
Clearance: Active TS/SCI clearance and ability to obtain DHS EOD suitability

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

Desired 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

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.

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.

About the Company

Arsiem

IT consulting and cybersecurity for governments

ARSIEM Corporation provides advanced IT consulting services, specializing in multiple areas including cybersecurity, enterprise architecture and development, and applications development, predominantly for government clients. The firm is distinguished by its deep commitment to cybersecurity and robust IT solutions that ensure enhanced protection and efficient digital infrastructures. This commitment to leveraging cutting-edge technologies in specialized areas of IT makes ARSIEM Corporation an excellent workplace for professionals aiming to actively contribute to significant, high-impact projects within the government sector.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Baltimore, Maryland
Founded: 2013

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