Applications Developer III

ARSIEM•Arlington, VA

8d•Onsite

About The Position

ARSIEM Corporation is seeking a Data Automation Engineer to develop and implement automation solutions to support technology integration activities. The role focuses on data pipeline development, automated analysis workflows, and integration automation. This position aims to address manual workflow pain points and enable scaling of technology capabilities through intelligent automation, supporting a Government client in Arlington, VA.

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
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

Nice To Haves

Experience with malware analysis automation or cybersecurity tools
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

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