[Hiring] Cloud Data Engineer @General Dynamics Information Technology

Role Description

GDIT is seeking a Cloud Data Engineer (Azure) to support the Indian Health Service Four Directions Data Warehouse (IHS 4DW) project. This role supports a mission-critical modernization effort: retiring the legacy Resource and Patient Management System (RPMS) and moving to a new electronic health record (EHR) ecosystem.

As a Cloud Data Engineer, you will focus on data modeling, simulation, and validation of Azure-based data pipelines that power analytics and reporting for the IHS 4DW program.

HOW YOU WILL MAKE AN IMPACT

• 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.

Qualifications

• 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.

Requirements

• NICE TO HAVE:
  • 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.

Benefits

• 401(k) with company match
• Customizable health benefits packages
• Collaborative teams of highly motivated critical thinkers and innovators
• Internal mobility and career development opportunities