Remote Data Engineer

Summary

Join our team as a Data Engineer and work with AI team members to operationalize data pipelines and ML tasks, providing day-to-day support of deploying Python-native ML pipelines and performing data engineering tasks to enable AI/ML capabilities.

Requirements

• The ability to obtain and maintain DHS Suitability
• A bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
• 5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 2 years of actual experience)
• Experience with ETL, Data Labeling and Data Prep
• Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production
• The ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize

Responsibilities

• Work with AI team members to operationalize data pipelines and ML tasks
• Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities
• Present results to a diverse audience in presentation or report form
• Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements
• Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas