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Singulariki

Amazon Redshift

Software & technology · O*NET

Amazon Redshift is a hot technology software tool tracked in the Data base user interface and query software category of O*NET's Technology Skills file. It appears in the technology profile of 27 occupations that together employ about 8,468,510 workers, with a median wage of $104,620. O*NET flags it as a hot technology — a skill frequently requested in job postings.

Across the occupations that use it, the work is 90th percentile for AI task-exposure (High) — how much of what those jobs do overlaps with what today's AI can attempt. That measures the exposure of the work, not the value of the tool or any sign it is being replaced. See where every tool category sits →

Occupations that use this tool

Occupations whose O*NET technology profile lists Amazon Redshift, ranked by employment. Wage and employment are BLS OEWS (national, cross-industry, May 2024) and describe the occupation, not an individual or the tool's own market.

Occupation Workers Median pay
Software Developers 1,654,440 $133,080
Management Analysts 893,900 $101,190
Market Research Analysts and Marketing Specialists 861,140 $76,950
Computer User Support Specialists 697,210 $60,340
Computer Systems Analysts 497,800 $103,790
Computer Systems Engineers/Architects 439,380 $108,970
Information Technology Project Managers 439,380 $108,970
Marketing Managers 384,980 $161,030
Network and Computer Systems Administrators 318,570 $96,800
Logistics Analysts 235,640 $80,880
Business Intelligence Analysts 233,440 $112,590
Data Scientists 233,440 $112,590
Architectural and Engineering Managers 210,340 $167,740
Software Quality Assurance Analysts and Testers 199,800 $102,610
Information Security Analysts 179,430 $124,910
Computer Network Architects 177,010 $130,390
Web and Digital Interface Designers 111,400 $98,090
Architects, Except Landscape and Naval 111,140 $96,690
Computer Programmers 109,870 $98,670
Operations Research Analysts 107,760 $91,290
Web Developers 78,860 $90,930
Database Administrators 73,180 $104,620
Data Warehousing Specialists 64,770 $135,980
Database Architects 64,770 $135,980
Computer and Information Research Scientists 38,480 $140,910
Statisticians 29,800 $103,300
Remote Sensing Scientists and Technologists 22,580 $117,960
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 27 occupations in occupations that use Amazon Redshift. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Computer and Information Research Scientists Architects, Except Landscape and Naval Remote Sensing Scientists and Technologists Computer User Support Specialists Logistics Analysts Management Analysts Data Scientists Market Research Analysts and Marketing Specialists Web Developers AI task-overlap percentile → ↑ Median pay
Occupations that use Amazon Redshift, by AI task-overlap and median pay

Related tools

Other software in the Data base user interface and query software category.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Amazon Redshift." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/software/amazon-redshift

APA

Singulariki. (2026). Amazon Redshift. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/software/amazon-redshift

BibTeX 
@misc{singulariki-amazon-redshift,
  title  = {Amazon Redshift},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/software/amazon-redshift}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.