2 months ago
Arlington, VA, USASenior
Responsibilities
- Develop automated data pipelines for machine learning technology integration initiatives.
- Create automation workflows for malware sample collection, detonation, taxonomy, and automated malware analysis.
- Implement AI/LLM integrations with Databricks, Amazon Bedrock, AWS, and other cloud services.
- Automate data integration, transformation, normalization, monitoring, alerting, and API-based data sharing.
- Support AI/ML data preparation, feature engineering, and the scaling of automation from pilot to production.
- Develop scripts and tools, optimize performance, maintain code repositories, and document automation solutions.
- Collaborate with analysts to identify automation opportunities and maintain data quality and integrity.
Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related field, or a high school diploma with 7+ years of directly relevant experience.
- 5+ years of experience in automation engineering, data engineering, or software development.
- Experience designing data ingestion pipelines on AWS and working with AI/LLM configuration, tuning, integration, and machine learning pipelines.
- Strong Python programming skills and experience with data manipulation libraries, APIs, integration technologies, databases, and data modeling.
- Experience with Amazon Bedrock, automation frameworks, orchestration tools, Git, and CI/CD practices.
- Preferred experience includes malware analysis automation, Databricks AI, Airflow, Prefect, Docker, Kubernetes, Kafka, Kinesis, Spark, Hadoop, federal cybersecurity programs, DoD 8140 IAT Level III, or CSSLP.
- Active TS/SCI clearance and ability to obtain DHS Entry on Duty suitability are required.
Benefits
- The position supports a government client in Arlington, VA.
- ARSIEM offers a $3,500 employee referral bonus after the referred employee reaches six months of employment.
- The company is an Equal Opportunity and Affirmative Action Employer.
Tech Stack
Categories
Data Engineering
