Data Analytics & Visualization Engineer (ELK) with Security Clearance
Red River Technology LLC
Posted 8/25/2026
Customs and Border Protection
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Summary Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Enterprise Services, Administrative Services Division, located in the following: • Indianapolis, IN • Minneapolis, MN • Washington DC Additional selections may be made to include other organizational divisions and/or units within the duty location(s) listed above. This announcement has been amended on 08/12/2026 to extend the closing date to 08/20/2026. Learn more about this agency Duties Help In this position, you will provide oversight and analysis of programs and policies related to Human Capital and administrative functions within DHS/CBP, offering expert advice and recommendations to improve data automation, delivery, and methodology. You will serve as a key advisor to management on a variety of administrative and programmatic issues, conduct technical analysis of key programs, and support program goals, effectiveness, resource utilization, and allocation. This position starts at a salary of $125,776.00 (GS-14, Step 1) to $163,514.00 (GS-14, Step 10). GS Salary: Visit this link to view the locality pay tables by geographic area. If you do not see your geographic area listed, select the "Rest of United States" pay table. Some positions fall under a special pay rate depending on the series, grade level and location of the position.Please visit this link to view special pay rate charts. Major duties include: • Analyzing and evaluating data related to human capital and administrative programs to assess program effectiveness, resource utilization, and progress toward organizational goals. • Developing and maintaining business intelligence reports, data models, and analytical tools to support workforce management, recruitment, and staffing analysis. • Advising senior leadership and management officials by preparing analytical reports, technical documents, and recommendations for improving data automation, delivery, and methodologies.
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The listed pay is 126k–164k. Salaries vary with experience and location — treat this as a guide and confirm on the original posting.
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