Job Requirements
Herndon, VA
Top Secret Full Scope Polygraph
Career Level not specified
Salary not specified
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Job Description
ABOUT PRISM
PRISM is devoted to modernization and innovation within the world of technology, security, and IT enterprise solutions. We are recognized for meeting performance requirements and exceeding customer expectations since 1994. Our culture is founded on relationships, opportunity, and success. Offering comprehensive benefit plans including medical, dental, vision, and 401K along with our people - first approach sustains our reputation as a premier employer.
PRISM is seeking a Machine Learning Engineer to lead data integration and skills intelligence development for a government sponsor. The ideal candidate will focus on building a centralized skills and competencies repository by cleaning, transforming, and migrating data from diverse HR and talent systems. You will develop automated ETL pipelines to extract skills data from performance reviews and open sources while ensuring strict PII compliance and secure storage.
KEY RESPONSIBILITIES:
Conduct gap analysis on datasets (current vs. needed state) and develop action plans
Perform data cleansing, transformation, and migration planning
Compare and map datasets across multiple HR and internal systems
Build and maintain a skills inventory database (jobs, competencies, KSAs, proficiency levels)
Develop automated processes to extract skills data (e.g., from performance reviews, onboarding data, open sources)
Ensure PII compliance and secure, access-controlled data storage
Support system integration, including ML/AI tools and chatbot capabilities
Evaluate data impacts of system restructuring and external integrations
Create documentation, SOPs, reports, and risk tracking artifacts
REQUIRED QUALIFICATIONS: (SKILLS/EDUCATION):
BS degree with 8+ years of demonstrable experience.
Databases (SQL/NoSQL), ETL pipelines, and data APIs
Programming: Python, Java, Scala
Machine Learning / AI tools and analytics platforms
Cloud: AWS analytics services, Hadoop ecosystem
Data visualization and reporting
Collaboration: Work closely with engineers, DBAs, HR teams, SMEs, and project managers to align data, systems, and skill frameworks.
DESIRED QUALIFICATIONS:
Experience with using and creating Tableau visualizations.
Experience with using and creating workspaces in Bluescape.
Experience working with data services in the Sponsor's cloud environment.
Experience using SharePoint, and adding and integrating content.
Knowledge of Agile Project Management Methodology.
REQUIRED SECURITY CLEARANCE:
Active Top Secret/SCI with Full Scope Poly
PRISM is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
PRISM is devoted to modernization and innovation within the world of technology, security, and IT enterprise solutions. We are recognized for meeting performance requirements and exceeding customer expectations since 1994. Our culture is founded on relationships, opportunity, and success. Offering comprehensive benefit plans including medical, dental, vision, and 401K along with our people - first approach sustains our reputation as a premier employer.
PRISM is seeking a Machine Learning Engineer to lead data integration and skills intelligence development for a government sponsor. The ideal candidate will focus on building a centralized skills and competencies repository by cleaning, transforming, and migrating data from diverse HR and talent systems. You will develop automated ETL pipelines to extract skills data from performance reviews and open sources while ensuring strict PII compliance and secure storage.
KEY RESPONSIBILITIES:
Conduct gap analysis on datasets (current vs. needed state) and develop action plans
Perform data cleansing, transformation, and migration planning
Compare and map datasets across multiple HR and internal systems
Build and maintain a skills inventory database (jobs, competencies, KSAs, proficiency levels)
Develop automated processes to extract skills data (e.g., from performance reviews, onboarding data, open sources)
Ensure PII compliance and secure, access-controlled data storage
Support system integration, including ML/AI tools and chatbot capabilities
Evaluate data impacts of system restructuring and external integrations
Create documentation, SOPs, reports, and risk tracking artifacts
REQUIRED QUALIFICATIONS: (SKILLS/EDUCATION):
BS degree with 8+ years of demonstrable experience.
Databases (SQL/NoSQL), ETL pipelines, and data APIs
Programming: Python, Java, Scala
Machine Learning / AI tools and analytics platforms
Cloud: AWS analytics services, Hadoop ecosystem
Data visualization and reporting
Collaboration: Work closely with engineers, DBAs, HR teams, SMEs, and project managers to align data, systems, and skill frameworks.
DESIRED QUALIFICATIONS:
Experience with using and creating Tableau visualizations.
Experience with using and creating workspaces in Bluescape.
Experience working with data services in the Sponsor's cloud environment.
Experience using SharePoint, and adding and integrating content.
Knowledge of Agile Project Management Methodology.
REQUIRED SECURITY CLEARANCE:
Active Top Secret/SCI with Full Scope Poly
PRISM is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
group id: PRISMVA