[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 Resource and Patient Management System (RPMS) and moving to a new electronic health record (EHR) system.

As a Cloud Data Engineer, you’ll help deliver cutting-edge cloud and data solutions that directly support improved healthcare outcomes while growing your career in a collaborative, mission-driven environment.

HOW YOU WILL MAKE AN IMPACT

• Lead the modernization of IHS health records by establishing a central repository for clinical data and longitudinal patient records.
• Design and implement Azure data pipelines to consolidate clinical data from 200+ healthcare facilities into an enterprise analytics environment.
• Develop automated ETL processes for high-volume JSON/HL7 FHIR data using Azure Data Factory and Azure Data Lake.
• Create and optimize PySpark processes for large-scale healthcare data transformation and enrichment.
• Build and maintain enterprise data models to standardize clinical information across facilities and data sources.
• Implement monitoring and alerting solutions to ensure data quality, reliability, and pipeline performance.
• Collaborate with architects, data engineers, and stakeholders to define cloud data architecture and integration patterns.
• Provide technical leadership on Azure cloud and data engineering best practices.

Qualifications

• Technical training, certification(s), or degree and 3+ years of relevant experience, or an equivalent combination of education and experience.
• Ability to serve as a lead big data engineer on database migration and Azure-based data pipeline initiatives.
• Extensive experience with Azure data services, including:
  • Azure Data Lake Storage Gen2
  • Azure Synapse Analytics
  • Azure Data Factory
  • Azure Monitor
  • Spark clusters (e.g., Synapse Spark, Databricks, or HDInsight)
• Proficiency in SQL and data modeling for enterprise-scale databases and analytics environments.
• Strong programming skills in Python (including PySpark) and .NET for large-scale data processing and integration.
• Experience developing Infrastructure as Code (e.g., Bicep, ARM templates, Terraform) and RESTful APIs in Azure.
• Track record of implementing CI/CD pipelines and DevOps practices for data-oriented solutions.

Requirements

• Relevant Azure certifications such as:
  • Azure Data Engineer Associate (DP-203)
  • Azure Database Administrator Associate (DP-300)
  • Azure Solutions Architect Expert (AZ-305)
• Experience in healthcare data systems and clinical data workflows.
• Advanced Power BI data visualization and semantic model development skills.
• Experience with HL7 FHIR implementation and healthcare data standards.
• Experience with Agile methodologies and technical team leadership or mentorship.
• Master’s degree in Computer Science, Information Systems, 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 team dedicated to helping you own your career
• Full flex work weeks where possible
• Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
• 15 days of paid leave per calendar year for vacations, personal business, and illness
• 10 paid holidays per year
• GDIT Paid Family Leave program provides up to 160 hours of paid leave in a rolling 12 month period for eligible employees
• Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance