As of June 2026, Data Warehousing Specialists has an AI-exposure score of 70/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Data Warehousing Specialists

70/100
High exposure
LowModerateElevatedHighVery High

More exposed than 90% of the roles we track. Median pay ~US$139,500. About 4,000 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How you compare to similar Computer & Mathematical roles

Data Warehousing Specialists (you)
70
Web Administrators
70
Business Intelligence Analysts
70
Web Developers
70
Computer Systems Engineers/Architects
71
Database Architects
71
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Your tasks, by AI exposure

Automatable
  • Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
  • Test software systems or applications for software enhancements or new products.
  • Prepare functional or technical documentation for data warehouses.
  • Select methods, techniques, or criteria for data warehousing evaluative procedures.
  • Provide or coordinate troubleshooting support for data warehouses.
  • Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.
  • Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
  • Map data between source systems, data warehouses, and data marts.
  • Create or implement metadata processes and frameworks.
  • Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.
  • Verify the structure, accuracy, or quality of warehouse data.
  • Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
  • Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.
  • Design and implement warehouse database structures.
  • Implement business rules via stored procedures, middleware, or other technologies.
Augmentable
  • Review designs, codes, test plans, or documentation to ensure quality.
Durable

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (94%).

Safer adjacent roles

Database Architects
80% skills overlap · High exposure · ~US$139,500
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Computer Systems Engineers/Architects
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Computer Systems Analysts
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Software Quality Assurance Analysts and Testers
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77
Junior Software Developer
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Database Administrator
40% skills overlap · Elevated exposure · ~US$101,000
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Data Scientist
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Computer Programmers
40% skills overlap · High exposure · ~US$100,390
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Your AI-Safe Career Report

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AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.