Rag and Tableau frequently appear together in AI job postings, with 29 current openings requiring both skills. The most common role for this combination is Data Scientist. Jobs requiring both skills pay up to $167K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Rag and Tableau appear together in 29 current AI job postings, most commonly for Data Scientist positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Rag + Tableau
Data Scientist14 jobs
AI/ML Engineer10 jobs
Data Engineer2 jobs
AI Product Manager1 jobs
AI Software Engineer1 jobs
AI Consultant1 jobs
Career Impact
Professionals who combine Rag and Tableau earn a median salary ceiling of
$167K, compared to $214K for Rag alone and
$188K for Tableau alone. This 17% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 29 positions require both Rag and Tableau skills. The most common role for this combination is Data Scientist.
Jobs requiring both Rag and Tableau pay an average of $119K to $167K based on 18 postings with disclosed compensation.
Jobs requiring both Rag and Tableau pay $167K on average (max), compared to $214K for Rag alone and $188K for Tableau alone. That represents a 17% discount for having both skills.
The most common roles requiring both Rag and Tableau are: Data Scientist, AI/ML Engineer, Data Engineer, AI Product Manager. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Methodology
Skill co-occurrence data is derived from 29 job postings that list both Rag and Tableau
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.
