Cloud Data Engineer (Azure)

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Data EngineerData

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Quick Summary

Key Responsibilities

Azure Data Lake Storage Gen2 Azure Synapse Analytics Azure Data Factory Azure Monitor Spark clusters (e.g., Synapse Spark, Databricks, or HDInsight) Proficie

Requirements Summary

Skills:Cloud Engineering, Data Engineering, Microsoft Azure Cloud Services,

Technical Tools

Data EngineerData

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

MBI (T2)

Job Family:

IT Infrastructure and Operations

Requirements

~1 min read

Cloud Engineering, Data Engineering, Microsoft Azure Cloud Services, Microsoft Cloud

None

3 + years of related experience

Job Description:

GDIT is seeking a Cloud Data Engineer (Azure) to support the Indian Health Service Four Directions Data Warehouse (IHS 4DW) project.

IHS, an agency within the Department of Health and Human Services, is the principal federal health care provider and health advocate for American Indian and Alaska Native (AI/AN) people. 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.

At GDIT, people are our differentiator. 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.

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.

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.

Nice to Have

~1 min read

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.

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

#GDITFedHealthJobs

The likely salary range for this position is $85,093 - $115,000. 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.

Scheduled Weekly Hours:

Less than 10%

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

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.

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.

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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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans