---
title: "Data Warehousing Specialist"
description: "Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to…"
canonical: "https://nuecareer.com/careers/data-warehousing-specialist"
last-updated: "2026-10-09T10:57:55.138Z"
---

# Data Warehousing Specialist

**Category:** Computer and Mathematical · **SOC code:** 15-1243 · **O\*NET-SOC code:** 15-1243.01

Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.

Also advertised as: Data Warehouse Analyst; Data Warehouse Solution Architect.

## At a glance

- **Median annual wage:** $139,500 (BLS OEWS, May 2025)
- **Median hourly wage:** $67.07/hr
- **Wage range (10th–90th percentile):** $86,240 to $204,000, with the middle half between $109,370 and $169,290
- **Total US employment:** 67,140
- **Typical entry education:** Bachelor's
- **Preparation required:** Medium preparation — O\*NET rates this "Job Zone Four: Considerable Preparation Needed"
- **Projected growth:** +9.4% over 2025–2035 (BLS EP, 2025–2035)
- **Annual job openings:** 3,900 openings a year
- **AI-resilience score:** 5/100 — a NueCareer heuristic over O\*NET work activities and context, not a BLS or O\*NET figure

## Pay

National wage distribution, BLS OEWS, May 2025, across 67,140 US jobs.

| Percentile | Annual wage |
| --- | --- |
| 10th | $86,240 |
| 25th | $109,370 |
| 50th (median) | $139,500 |
| 75th | $169,290 |
| 90th | $204,000 |
| Mean (average) | $144,440 |

### Pay by state

The 15 highest-paying states, by median annual wage. The cost-of-living-adjusted column divides the state median by that state's BEA Regional Price Parity, so the columns answer different questions: the first is what the job pays there, the second is what that pay buys there.

| State | Median annual wage | Cost-of-living adjusted | Employment |
| --- | --- | --- | --- |
| CA | $170,160 | $153,685 | 6,210 |
| MA | $161,650 | $152,850 | 2,690 |
| VA | $160,360 | $158,609 | 5,260 |
| AZ | $156,100 | $155,050 | 1,200 |
| CO | $154,560 | $149,983 | 1,950 |
| TX | $151,370 | $155,960 | 8,270 |
| DC | $150,010 | $136,496 | 790 |
| DE | $147,800 | $148,084 | Not published by BLS |
| CT | $144,460 | $139,427 | 1,140 |
| IL | $142,500 | $142,560 | 1,590 |
| NY | $141,350 | $130,975 | 3,850 |
| RI | $140,320 | $137,192 | 160 |
| NV | $140,200 | $140,229 | 420 |
| NH | $139,990 | $134,393 | 120 |
| GA | $139,500 | $144,870 | 2,590 |

32 more states with published wage data are omitted here. The full table for all 47 states is at https://nuecareer.com/careers/data-warehousing-specialist/salary-by-state, or as JSON at https://nuecareer.com/api/v1/careers/data-warehousing-specialist.

## Outlook

BLS projects employment to move from 69,500 in the 2025–2035 base year to 76,000 by the end of the cycle — a gain of 6,500 jobs, or +9.4%. Much faster than average: 9.4% against 3.5% projected for all occupations over the same cycle. About 3,900 openings a year are expected on average, counting openings from growth as well as from workers leaving the occupation permanently. Source: BLS EP, 2025–2035.

## How to get in

- **Typical entry education:** Bachelor's degree (BLS Employment Projections).
- **Preparation level:** Medium preparation — O\*NET's preparation band for this occupation is "Job Zone Four: Considerable Preparation Needed".
- **Related work experience typically required:** Less than 5 years.
- **Typical on-the-job training:** None.

### Education people in this job actually hold

O\*NET surveys incumbents, so this distribution describes who is in the job today and can differ from the BLS entry requirement above.

| Education level | Share of workers |
| --- | --- |
| Bachelor's Degree | 78.3% |
| High School Diploma or the equivalent (such as a GED) | 4.4% |
| Post-Secondary Certificate | 4.4% |
| Some College Courses | 4.4% |
| Associate's Degree or other 2-year degree | 4.4% |
| Master's Degree | 4.4% |

## What the work involves

- 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.
- 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.
- Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.

## Skills and knowledge

### Essential skills

- Reading Comprehension — importance 3.9 on the O\*NET 1–5 importance scale
- Critical Thinking — importance 3.9 on the O\*NET 1–5 importance scale
- Active Listening — importance 3.5 on the O\*NET 1–5 importance scale
- Speaking — importance 3.4 on the O\*NET 1–5 importance scale
- Writing — importance 3.3 on the O\*NET 1–5 importance scale
- Mathematics — importance 3.0 on the O\*NET 1–5 importance scale
- Active Learning — importance 3.0 on the O\*NET 1–5 importance scale
- Monitoring — importance 2.9 on the O\*NET 1–5 importance scale

### Transferable skills

These are the skills that carry into other occupations, and they drive the related-occupation and career-change rankings on this site.

- Programming — importance 3.8 on the O\*NET 1–5 importance scale
- Complex Problem Solving — importance 3.6 on the O\*NET 1–5 importance scale
- Systems Analysis — importance 3.5 on the O\*NET 1–5 importance scale
- Judgment and Decision Making — importance 3.4 on the O\*NET 1–5 importance scale
- Systems Evaluation — importance 3.3 on the O\*NET 1–5 importance scale
- Coordination — importance 3.1 on the O\*NET 1–5 importance scale
- Social Perceptiveness — importance 3.0 on the O\*NET 1–5 importance scale
- Time Management — importance 2.9 on the O\*NET 1–5 importance scale

### Knowledge areas

- Computers and Electronics — importance 4.3 on the O\*NET 1–5 importance scale
- Mathematics — importance 3.2 on the O\*NET 1–5 importance scale
- English Language — importance 3.2 on the O\*NET 1–5 importance scale
- Design — importance 3.0 on the O\*NET 1–5 importance scale
- Engineering and Technology — importance 2.9 on the O\*NET 1–5 importance scale
- Administration and Management — importance 2.6 on the O\*NET 1–5 importance scale

### Abilities

- Written Comprehension — importance 3.9 on the O\*NET 1–5 importance scale
- Information Ordering — importance 3.9 on the O\*NET 1–5 importance scale
- Oral Comprehension — importance 3.8 on the O\*NET 1–5 importance scale
- Deductive Reasoning — importance 3.8 on the O\*NET 1–5 importance scale
- Inductive Reasoning — importance 3.8 on the O\*NET 1–5 importance scale
- Near Vision — importance 3.6 on the O\*NET 1–5 importance scale

## Who it suits

O\*NET rates every occupation on the six Holland (RIASEC) interest areas, on a 1–7 scale. This occupation's strongest areas are Conventional (C), Investigative (I), Enterprising (E).

| Interest area | Score (1–7) |
| --- | --- |
| C — Conventional | 6.38 |
| I — Investigative | 4.79 |
| E — Enterprising | 3.05 |
| R — Realistic | 2.93 |
| S — Social | 2.03 |
| A — Artistic | 1.62 |

### Personality fit

These scores are **derived by NueCareer**, not published by any government agency: they are cosine similarities between a personality type's trait profile and this occupation's O\*NET interest and work-style ratings, expressed 0–100. Treat them as a starting point for exploration, not as evidence that a type belongs in a job.

| Type | Fit score (0–100) |
| --- | --- |
| ISTJ | 87.1 |
| ESTJ | 76.0 |
| INTJ | 72.8 |
| ISFJ | 72.0 |
| ISTP | 62.3 |

Best-fitting types: ISTJ. The bank also flags this occupation as introvert-friendly, meaning O\*NET work-context ratings put it low on public contact and performing for the public.

## Related occupations

O\*NET's primary related occupations, in its own ranked order.

- [Database Architect](https://nuecareer.com/careers/database-architect) — median $139,500
- [Database Administrator](https://nuecareer.com/careers/database-administrator) — median $104,620
- [Software Developer](https://nuecareer.com/careers/software-developer) — median $135,980
- [Computer Systems Analyst](https://nuecareer.com/careers/computer-systems-analyst) — median $105,850
- [Computer Systems Engineers/Architect](https://nuecareer.com/careers/computer-systems-engineers-architect) — median $116,580
- [QA Analyst](https://nuecareer.com/careers/qa-analyst) — median $104,300
- [Data Scientist](https://nuecareer.com/careers/data-scientist) — median $120,230
- [Blockchain Engineer](https://nuecareer.com/careers/blockchain-engineer) — median $116,580
- [Business Intelligence Analyst](https://nuecareer.com/careers/business-intelligence-analyst) — median $120,230
- [Computer Programmer](https://nuecareer.com/careers/computer-programmer) — median $100,390

## Sources

- **O\*NET** — O\*NET 31.0 Database, August 2026. https://www.onetcenter.org/database.html
- **BLS OEWS** — BLS Occupational Employment and Wage Statistics, May 2025. https://www.bls.gov/oes/
- **BLS EP** — BLS Employment Projections, Table 1.2, 2025–2035. https://www.bls.gov/emp/
- **BLS OOH** — BLS Occupational Outlook Handbook, 2025–2035 edition. https://www.bls.gov/ooh/
- **BEA RPP** — BEA Regional Price Parities by State, 2024. https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area

---

This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology

JSON representation of this page: https://nuecareer.com/api/v1/careers/data-warehousing-specialist