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Tech & EngineeringGrowingBright Outlook

Data Warehousing Specialist

Mid-level

Also known as: Analytics Manager, Big Data Engineer, Data Integrity Specialist, Data Management Engineer

Tech & EngineeringBachelor's Degree

Job Description

Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.
Data WarehousingDatabase ManagementData ModelingETLComputer ScienceInformation TechnologyEngineeringSoftwareCreativeAnalysis

Skills employers are looking for in 2027

Software and technologies flagged by O*NET as Hot or In-Demand for this role.

In-demand software
Microsoft AccessMicrosoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft Power BIMicrosoft PowerPointOperational Data Store ODS softwarePythonStructured query language SQLTableau

Job Outlook 2025-2035

Bright Outlook

O*NET flags this career as a Bright Outlook occupation: grows rapidly over the next decade.

Projected growth

+9.4%

US average: +3.5%

Job openings

3,900

per year (US)

Jobs today

69,500

in 2025 → 76,000 (2035)

Typical entry education

Bachelor's degree

Source: U.S. Bureau of Labor Statistics, Employment Projections; O*NET Bright Outlook. Read the BLS Occupational Outlook Handbook

Work Environment

How this work is typically performed, based on O*NET work context data.

Email & digital communication
High
Working in a team
High
Contact with others
Moderate
Freedom to make decisions
High
Time pressure
Moderate
Time spent sitting
High
Working outdoors
Low
Indoor, climate-controlled
High
Dealing with customers
Low
Level of competition
Moderate

Source: O*NET Work Context (v31.0)

Future Perspective

Growing Job Market

This field is experiencing expansion with increasing job opportunities and career advancement potential. Market demand is rising, with new positions being created.

Career ladder

Often before this role

  • Database Administrator
  • ETL Developer
  • Data Analyst

Where it can lead

  • Data Architect
  • Solutions Architect
  • Head of Data Engineering

Impact of AI on this Job

AI will increasingly automate data extraction, transformation, and loading (ETL) processes, enhancing efficiency in data warehousing. Specialists will shift their focus towards designing AI-ready data architectures, integrating machine learning models, and ensuring data quality for advanced analytics. This transition will require more strategic oversight of automated systems and less manual programming.