Cloud Data Engineer – Data Modeling and Simulation (Azure)

General Dynamics Information Technology (GDIT) is hiring a Cloud Data Engineer to support the Indian Health Service Four Directions Data Warehouse modernization project. The role focuses on modeling, simulating, testing, and validating Azure data pipelines that support analytics and reporting.

Responsibilities:

• Design and implement test environments that simulate production-scale data loads from 200+ healthcare facilities
• Create models of data transformation processes to validate ETL accuracy, completeness, and performance
• Build automated testing frameworks for validating health data quality and pipeline reliability
• Develop test data generators that accurately represent healthcare data patterns, edge cases, and error conditions
• Implement load testing and performance validation solutions for Azure-based data pipelines and services
• Create and maintain testing environments for HL7 FHIR data transformations and related data standards
• Collaborate with data engineers, architects, and developers to ensure end-to-end data pipeline quality
• Assist in all data engineering aspects of the Four Directions Data Warehouse project, including design reviews and code reviews
• Provide technical leadership and guidance on testing architecture, data validation approaches, and best practices

Requirements:

• 5 + years of related experience
• Technical training, certification(s), or degree and 5+ years of relevant experience, or equivalent combination of education and experience
• Strong experience with Azure data services, including:
• Azure Data Lake Storage Gen2
• Azure Synapse Analytics
• Azure Data Factory (or Synapse pipelines)
• Expertise in creating test automation frameworks and performance testing solutions for data pipelines
• Proficiency in Python and SQL for developing test data generators, validation scripts, and test harnesses
• Experience with Infrastructure as Code (e.g., Bicep, ARM, Terraform) to create reproducible, automated test environments
• Proven track record of implementing automated testing pipelines and DevOps practices (CI/CD) in a data engineering context
• Experience in simulating and testing large-scale data processing systems in the cloud
• Must be able to obtain a Public Trust Level 5 clearance, which requires residency in the U.S. for at least 3 of the past 5 years
• Work visa sponsorship will not be provided for this position
• Relevant Azure certifications such as:
• Azure Data Engineer Associate (DP-203)
• Azure Database Administrator Associate (DP-300)
• Azure Solutions Architect Expert (AZ-305)
• Experience with healthcare data systems, clinical data, and HIPAA compliance requirements
• Knowledge of HL7 FHIR standards and healthcare data validation patterns
• Advanced skills in performance testing and monitoring tools (e.g., Azure Monitor, Application Insights, Log Analytics, JMeter, Locust)
• Experience with distributed systems testing, chaos/failure mode simulations, and resiliency validation
• Background in data quality assurance, data governance, and validation methodologies
• Experience working in Agile environments and contributing to technical leadership within a team
• Master's degree in Computer Science, Information Systems, Data Engineering, or a related field