Job Description
Responsibilities for this Position
Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ207032
Type of Requisition: Regular
Clearance Level Must Currently Possess: None
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: MBI (T2)
Job Family: Data Science and Data Engineering
Job Qualifications: Skills: Azure Data Factory, Data Engineering, Data Solutions
Certifications: None
Experience: 5 + years of related experience
US Citizenship Required: No
Job Description: Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a
Senior Azure Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.
Join GDIT as a Sr. Azure Data Engineer to design, build, and optimize cloud-based data solutions in a FedRAMP-compliant healthcare environment. You will work with Microsoft Fabric, Azure SQL, Synapse, Data Factory, and Power BI to enable secure, scalable, and compliant data pipelines, warehouses, and reporting solutions.
As part of a platform engineering and data analytics team, you will ensure mission-critical healthcare data is efficiently ingested, transformed, stored, and visualized while adhering to HIPAA, FedRAMP, and FISMA compliance requirements.
This role is fully remote! This role has a targeted start date towards the end of 2025/early 2026. Responsibilities: - Design, develop, and maintain end-to-end Azure data pipelines using Microsoft Fabric and Azure Data Factory.
- Build and optimize Azure SQL databases, Synapse data warehouses, and analytics models for healthcare programs.
- Implement ETL/ELT processes, data ingestion, transformation, and cleansing to support business and clinical analytics.
- Develop interactive dashboards and reports using Power BI for operational, clinical, and executive stakeholders.
- Ensure data quality, integrity, and security across all pipelines and storage systems.
- Collaborate with architects, developers, and business stakeholders to translate requirements into scalable, performant data solutions.
- Maintain documentation for data models, pipelines, governance, and compliance processes.
- Implement data governance, access control, and monitoring in alignment with FedRAMP, HIPAA, and FISMA.
- Evaluate emerging Azure data services and recommend solutions to improve data processing, analytics, and reporting capabilities.
Required Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
- 5+ years of experience as a data engineer or analytics engineer, preferably in federal healthcare or regulated environments
- Ability to obtain and maintain a Public Trust
- Hands-on experience with:
- Microsoft Fabric (Data Pipelines, Warehouse, Fabric Studio)
- Azure SQL / Synapse Analytics / Data Warehouse design
- Power BI (data modeling, dashboards, visualization)
- Azure Data Factory for ETL/ELT orchestration
- Strong understanding of data governance, security, and compliance (FedRAMP, HIPAA, FISMA)
- Experience with data modeling, dimensional design, and performance tuning
Preferred Qualifications: - Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate
- Experience in advanced analytics, machine learning integration, or AI-ready data pipelines
- Knowledge of Azure Purview or other data cataloging/governance tools
- Familiarity with event-driven architectures
- Experience with DevOps practices for data pipelines, including CI/CD for data workflows
- Strong problem-solving, collaboration, and documentation skills
#GDITFedHealthJobs
The likely salary range for this position is $72,250 - $97,750. 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: 40
Travel Required: None
Telecommuting Options: Remote
Work Location: Any Location / Remote
Additional Work Locations: Total Rewards at GDIT: 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.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 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 capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc .
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
PI277959850
Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a
Senior Azure Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.
Join GDIT as a Sr. Azure Data Engineer to design, build, and optimize cloud-based data solutions in a FedRAMP-compliant healthcare environment. You will work with Microsoft Fabric, Azure SQL, Synapse, Data Factory, and Power BI to enable secure, scalable, and compliant data pipelines, warehouses, and reporting solutions.
As part of a platform engineering and data analytics team, you will ensure mission-critical healthcare data is efficiently ingested, transformed, stored, and visualized while adhering to HIPAA, FedRAMP, and FISMA compliance requirements.
This role is fully remote! This role has a targeted start date towards the end of 2025/early 2026. Responsibilities: - Design, develop, and maintain end-to-end Azure data pipelines using Microsoft Fabric and Azure Data Factory.
- Build and optimize Azure SQL databases, Synapse data warehouses, and analytics models for healthcare programs.
- Implement ETL/ELT processes, data ingestion, transformation, and cleansing to support business and clinical analytics.
- Develop interactive dashboards and reports using Power BI for operational, clinical, and executive stakeholders.
- Ensure data quality, integrity, and security across all pipelines and storage systems.
- Collaborate with architects, developers, and business stakeholders to translate requirements into scalable, performant data solutions.
- Maintain documentation for data models, pipelines, governance, and compliance processes.
- Implement data governance, access control, and monitoring in alignment with FedRAMP, HIPAA, and FISMA.
- Evaluate emerging Azure data services and recommend solutions to improve data processing, analytics, and reporting capabilities.
Required Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
- 5+ years of experience as a data engineer or analytics engineer, preferably in federal healthcare or regulated environments
- Ability to obtain and maintain a Public Trust
- Hands-on experience with:
- Microsoft Fabric (Data Pipelines, Warehouse, Fabric Studio)
- Azure SQL / Synapse Analytics / Data Warehouse design
- Power BI (data modeling, dashboards, visualization)
- Azure Data Factory for ETL/ELT orchestration
- Strong understanding of data governance, security, and compliance (FedRAMP, HIPAA, FISMA)
- Experience with data modeling, dimensional design, and performance tuning
Preferred Qualifications: - Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate
- Experience in advanced analytics, machine learning integration, or AI-ready data pipelines
- Knowledge of Azure Purview or other data cataloging/governance tools
- Familiarity with event-driven architectures
- Experience with DevOps practices for data pipelines, including CI/CD for data workflows
- Strong problem-solving, collaboration, and documentation skills
Job Tags
Full time, Temporary work, Part time, Immediate start, Remote work, Worldwide, Flexible hours,