IT Specialist (Applicants Software/Data Management), GS-2210-14 FPL GS-14 (MP)
Office of Special Education and Rehabilitative ServicesThis position is located within the Data Collection and Analysis Unit, in the State Monitoring and Program Improvement Division (SMPID), Rehabilitation Services Administration (RSA). RSA is responsible for the collection, analysis, and reporting of data submitted by five formula grant programs, including the State Vocational Rehabilitation (VR) Services program, established under the Rehabilitation Act of 1973, as amended (Rehabilitation Act).APPLICATION LIMIT: This vacancy announcement is limited to the first 200 applications received and will close at 11:59PM Eastern Time on the day that we receive the 200th application, or at 11:59PM Eastern Time on the listed closing date, whichever occurs first. We encourage you to read this entire vacancy announcement prior to submitting your application. As an Information Technology Specialist (Applications Software/Data Management, GS-2210-14, you will be responsible for: • Coordination of Cybersecurity compliance, risk management, safeguarding of data privacy, and the maintenance of operational readiness. • Designing, developing, and maintaining an accessible web platform. • Designing, developing, and maintaining databases by implementing database structure and developing reporting methodologies.
Opens the company's application page
Listed via
USAJobs
usajobs.gov
Similar roles
Data Analyst
Harnham - Data & Analytics Recruitment
Senior Data Analyst
Harnham - Data & Analytics Recruitment
Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX
Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.