Cloud Data Engineer – Data Modeling and Simulation (Azure)

General Dynamics Information Technology•USA MD Home Office (MDHOME), MD

15h•$112,840 - $140,300•Remote

About The Position

GDIT is seeking a Cloud Data Engineer to support the Indian Health Service Four Directions Data Warehouse (IHS 4DW) project. The position contributes to a mission-critical modernization effort to retire the legacy Resource and Patient Management System (RPMS) and transition to a new electronic health record ecosystem. The role focuses on modeling, simulating, and validating Azure-based data pipelines used for analytics and reporting. The engineer will design production-scale test environments, model data transformations, build automated testing frameworks and test data generators, and validate pipeline data quality, reliability, and performance. The role also supports HL7 FHIR data transformation testing, collaborates with engineers, architects, and developers, contributes to project-wide data engineering activities, and provides technical guidance on testing architecture and validation practices. This is a remote position within the United States. The employee must be able to obtain Public Trust Level 5 clearance, which requires U.S. residency for at least 3 of the past 5 years. Work visa sponsorship is not provided. Travel is less than 10%, and the schedule is 40 hours per week.

Requirements

Technical training, certification(s), or a degree and 5 or more years of relevant experience, or an equivalent combination of education and experience.
Strong experience with Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Data Factory or Synapse pipelines.
Expertise 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, such as Bicep, ARM, or Terraform, to create reproducible, automated test environments.
A proven track record implementing automated testing pipelines and DevOps practices, including CI/CD, in a data engineering context.
Experience simulating and testing large-scale data processing systems in the cloud.
Must be able to obtain Public Trust Level 5 clearance; this requires U.S. residency for at least 3 of the past 5 years.
Work visa sponsorship is not provided.

Nice To Haves

Azure Data Engineer Associate (DP-203), Azure Database Administrator Associate (DP-300), or Azure Solutions Architect Expert (AZ-305) certification.
Experience with healthcare data systems, clinical data, and HIPAA compliance requirements.
Knowledge of HL7 FHIR standards and healthcare data validation patterns.
Advanced skills with performance testing and monitoring tools such as Azure Monitor, Application Insights, Log Analytics, JMeter, or Locust.
Experience with distributed systems testing, chaos or failure-mode simulations, and resiliency validation.
Background in data quality assurance, data governance, and validation methodologies.
Experience working in Agile environments and contributing technical leadership within a team.
Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

Responsibilities

Design and implement test environments that simulate production-scale data loads from more than 200 healthcare facilities.
Model data transformation processes to validate ETL accuracy, completeness, and performance.
Build automated testing frameworks to validate health data quality and pipeline reliability.
Develop test data generators that 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 with data engineering work for 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.

Benefits

401(k) with company match.
Customizable health benefits packages, including medical plan options and some plans with Health Savings Accounts.
Dental and vision plan options.
Full flex work weeks where possible.
Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement, and jury duty leave.
Typically 15 days of paid leave per calendar year for new employees, prorated based on hire date.
An additional 10 paid holidays per year, prorated based on hire date.
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
Short- and long-term disability benefits, life insurance, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance are provided or available.
Internal mobility and career development opportunities.