Cloud Data Engineer – Data Modeling, Simulation, Azure

General Dynamics Information Technology

. Design and implement test environments simulating production-scale data loads from 200+ healthcare facilities .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $112,840 - $140,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing automated testing frameworks for data pipelines, with a strong focus on Azure data services and healthcare data standards. Proficient in data transformation processes, performance testing, and ensuring data quality and compliance.

Highest-signal resume keywords

Azure Data ServicesTest Automation FrameworksPythonSQLHealthcare Data Systems

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Hard Skills

ETL ValidationPerformance TestingData TransformationInfrastructure as CodeCI/CD PracticesData Quality AssuranceData GovernanceDistributed Systems TestingChaos/Failure Mode SimulationsResiliency Validation

Soft Skills

Technical LeadershipCollaboration

Tools & Technologies

Azure Data Lake Storage Gen2Azure Synapse AnalyticsAzure Data FactoryAzure MonitorApplication InsightsLog AnalyticsJMeterLocust

Certifications & Qualifications

DP-203DP-300AZ-305

Industry Keywords

HL7 FHIR StandardsHIPAA ComplianceAgile EnvironmentsData EngineeringHealthcare Data Patterns

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsETLJMeterPythonSQLTerraform

About the role

Key responsibilities & impact

Design and implement test environments simulating 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 health data quality and pipeline reliability
Develop test data generators representing 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 aspects of the Four Directions Data Warehouse project, including design and code reviews
Provide technical leadership and guidance on testing architecture, data validation approaches, and best practices
Support the IHS Four Directions Data Warehouse project and its modernization from RPMS to a new EHR ecosystem

Requirements

What you’ll need

Technical training, certification(s), or degree and 5+ years of relevant experience, or equivalent combination of education and experience
5+ years of related experience
Strong experience with Azure data services, including Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Data Factory or Synapse pipelines
Expertise in creating test automation frameworks and performance testing solutions for data pipelines
Proficiency in Python and SQL
Experience with Infrastructure as Code, such as Bicep, ARM, or Terraform
Proven experience 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 a Public Trust Level 5 clearance
Must have resided in the U.S. for at least 3 of the past 5 years for clearance eligibility
Work visa sponsorship will not be provided
U.S. citizenship is not required
Azure certifications such as DP-203, DP-300, or AZ-305 are nice to have
Experience with healthcare data systems, clinical data, and HIPAA compliance requirements is nice to have
Knowledge of HL7 FHIR standards is nice to have
Experience with performance testing and monitoring tools such as Azure Monitor, Application Insights, Log Analytics, JMeter, or Locust is nice to have
Experience with distributed systems testing, chaos/failure mode simulations, and resiliency validation is nice to have
Background in data quality assurance, data governance, and validation methodologies is nice to have
Experience working in Agile environments and contributing to technical leadership is nice to have
Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field is nice to have

Benefits

Comp & perks

401(k) with company match
Customizable health benefits packages, including medical, dental, and vision plan options
Health Savings Accounts on some medical plans
Full flex work weeks where possible
Vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave
Typically 15 days of paid leave per calendar year
10 paid holidays per year
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 insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
Internal mobility and career development opportunities
Collaborative teams of highly motivated critical thinkers and innovators