Oct 24
Top Secret/SCI
Mid Level Career (5+ yrs experience)
IT - Data Science
Washingtn, DC (On-Site/Office)
Position Summary: Designs, develops, and maintains scalable data pipelines and infrastructure to support enterprise AI/ML operations. Works with structured and unstructured data sources to ensure reliable data flow for chatbot training and operational analytics. Opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.
Key Responsibilities:
• Develop and maintain ETL/ELT pipelines for processing large-scale datasets
• Design data models and schemas optimized for AI/ML workloads
• Implement data quality monitoring and validation frameworks
• Collaborate with AI engineers to understand data requirements and optimize data delivery
• Troubleshoot data pipeline issues and implement performance improvements
• Maintain documentation for data flows, transformations, and pipeline architectures
• Support data governance initiatives and ensure compliance with data handling policies
Qualifications:
• 5+ years of experience in data engineering or related field
• Active TS/SCI clearance with ability to obtain CI Polygraph
• Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.)
• Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies
• Knowledge of data warehousing concepts and modern data stack tools
• Understanding of version control systems and CI/CD practices
• AWS experience highly preferred but not required
• Military experience strongly preferred
Key Responsibilities:
• Develop and maintain ETL/ELT pipelines for processing large-scale datasets
• Design data models and schemas optimized for AI/ML workloads
• Implement data quality monitoring and validation frameworks
• Collaborate with AI engineers to understand data requirements and optimize data delivery
• Troubleshoot data pipeline issues and implement performance improvements
• Maintain documentation for data flows, transformations, and pipeline architectures
• Support data governance initiatives and ensure compliance with data handling policies
Qualifications:
• 5+ years of experience in data engineering or related field
• Active TS/SCI clearance with ability to obtain CI Polygraph
• Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.)
• Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies
• Knowledge of data warehousing concepts and modern data stack tools
• Understanding of version control systems and CI/CD practices
• AWS experience highly preferred but not required
• Military experience strongly preferred
group id: 91165268
