Data Warehousing Specialists
Computer and Mathematical
The job is to build and keep corporate data warehouses working: modeling how data is sourced, extracted, transformed, and loaded, then mapping it between source systems, warehouses, and data marts. Structures have to be designed, and extraction routines written for systems such as administration, billing, or claims. Checking the structure, accuracy, and quality of warehouse data is ongoing, as is troubleshooting when something fails. Standards for how warehouse elements are organized and named are set and maintained, and programs are written or changed to match what users need. It suits people who like precise data mapping, practical coding, and tracing problems through linked systems.
Typical education: Bachelor’s Degree (4-year)
Annual Median Wage in Field (2025)
$139'500
Median Wage Market Position
$139'500
What you might do
- Model how warehouse data is sourced and loaded
- Check warehouse data for accuracy and quality
- Map data between sources, warehouses, and data marts
- Lay out warehouse database structures and tables
- Write procedures that extract data from other systems
- Troubleshoot warehouse problems for the people using them
Skills that matter
- Modeling extract, load, and transform steps
- Mapping data to warehouses and marts
- Writing extraction procedures from other systems
- Checking warehouse data for accuracy
- Coding programs that users need
- Troubleshooting warehouse problems for users
AI & the future of this role
ETL patterns, warehouse modeling, and user access support may be partly automated as platforms improve. Odd source-system quirks and trustworthy delivery for analytics consumers still tend to need human oversight.
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Includes O*NET® 30.3 Database information by USDOL/ETA under CC BY 4.0; modified by LostInCareer. Wage/outlook from BLS. Attribution details