Cloud Data Engineer – Data Modeling and Simulation (Azure)

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.

WHAT YOU’LL NEED TO SUCCEED

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.

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.

LOCATION: Remote within the US

CLEARANCE: 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 **

WHAT GDIT CAN OFFER YOU

401(k) with company match

Customizable health benefits packages

Collaborative teams of highly motivated critical thinkers and innovators Internal mobility and career development opportunities

#GDITFedHealthJobs

The likely salary range for this position is $112,840 - $140,300. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.

To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year.

Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.

We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud.

By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation.

We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

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