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.
Data Warehousing Specialists
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.
How you compare to similar Computer & Mathematical roles
Your tasks, by AI exposure
- 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.
- Review designs, codes, test plans, or documentation to ensure quality.
No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (94%).
Safer adjacent roles
Your AI-Safe Career Report
Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
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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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