Data Warehousing Specialists
Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.
Also called: Data Warehouse Analyst · Data Warehouse Solution Architect
Median pay (national)
$135,980
$81,630–$209,990 (10th–90th)
Employed (US)
64,770
BLS OEWS, May 2024
Outlook 2024–34
+8.7%
~4,000 openings/yr
Typical entry
Bachelor's degree
What the numbers say
Refit analysis ·Pay for data warehousing specialists shows an unusually wide range: the top 10% earn $209,990 versus $81,630 at the bottom 10% — 2.6x. The median of $135,980 leaves roughly 54% of headroom to the 90th percentile, which is where seniority, specialization, and the skills below tend to pay off.
Refit analysis ·Employment is projected to change +8.7% from 2024 to 2034 — much faster than the 3% average for all occupations. Even so, BLS projects about 4,000 openings a year, mostly to replace workers who retire or change careers.
Refit analysis ·Where you work moves the number a lot. Across the 48 states with released data, Massachusetts pays the most for this role (median $161,160, +19% vs the national median), while Wyoming sits lowest at $62,760 — a 157% spread for the same job title.
Refit analysis ·O*NET rates Reading Comprehension, Critical Thinking, Active Listening as the highest-importance skills here — so a resume aimed at this role should lead with evidence of those, not a generic skills list. On the tools side, O*NET flags Microsoft Access, Microsoft Excel, Microsoft Office software, Microsoft Outlook as in-demand technologies for this role.
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Top skills employers ask for
Ranked by O*NET importance for this occupation.
- Reading Comprehension
- Critical Thinking
- Active Listening
- Speaking
- Writing
- Mathematics
- Active Learning
- Monitoring
- Learning Strategies
- Science
What they actually do
Core O*NET tasks for this role.
- Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
- Verify the structure, accuracy, or quality of warehouse data.
- Map data between source systems, data warehouses, and data marts.
- Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
- Design and implement warehouse database structures.
- 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.
- 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.
- 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.
- Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.
Tools & technology
- Microsoft Access
- Microsoft Excel
- Microsoft Office software
- Microsoft Outlook
- Microsoft Power BI
- Microsoft PowerPoint
- Operational Data Store ODS software
- Python
- Structured query language SQL
- Tableau
- Amazon DynamoDB
- Amazon Elastic Compute Cloud EC2
- Amazon Redshift
- Amazon Web Services AWS software
- Apache Cassandra
- Apache Hadoop
Knowledge areas
- Computers and Electronics
- Mathematics
- English Language
- Design
- Engineering and Technology
- Administration and Management
- Customer and Personal Service
- Economics and Accounting