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Data Warehousing Jobs (NOW HIRING)

DCCA

Data Warehousing Administrator

Bethesda, MD · On-site

They are seeking a Data Warehousing Administrator who will be responsible for designing, developing, and maintaining large-scale data warehouses and ensuring data security and integrity.

Intrepid

Data Warehousing Administrator

Mclean, VA · On-site

As the Data Warehousing Administrator, you will manage large scale storage systems, ensuring data integrity, efficient retrieval, and long-term security protections. ESSENTIAL JOB FUNCTIONS

DCCA

Data Warehousing Administrator

Bethesda, MD · On-site

They are seeking a Data Warehousing Administrator to design, develop, and maintain large-scale data warehouses while ensuring data security and integrity. Responsibilities : • Experience in ...

Intrepidgs

Data Warehousing Administrator

Mclean, VA · On-site

As the Data Warehousing Administrator, you will manage large scale storage systems, ensuring data integrity, efficient retrieval, and long-term security protections. ESSENTIAL JOB FUNCTIONS

Collabera

Data Warehousing - Intermediate

Phoenix, AZ · On-site

$49 - $67/hr

Industry Banking and Financial Job Title Data Warehousing - Intermediate Location: 3202 W Behrend Dr., Phoenix, AZ - 85027 Duration 04+ Months (Very High Possibility of Extension) Job Summary:

Bcbsri

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

Map and verify data from new data sources into the warehouse, ensuring the integrity of the data. Maintain operational and user-facing data documentation. What you will do: * Work with business ...

AVTC Group

Data Warehousing

Dallas, TX · On-site +1

The right candidate would have the following skills: 7-8 years of relational database (SQL, PL/SQL) experience in complex enterprise environment. • 7+ years of data warehouse experience using Power ...

Cymertek Corporation

Data Warehouse Engineer

Aurora, CO · On-site

This role involves designing, building, and maintaining high-performance data warehousing solutions while collaborating with cross-functional teams to ensure efficient data integration, storage, and ...

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Data Warehousing information

Is data warehousing a good career?

Data warehousing is a viable career path involving designing, implementing, and managing large-scale data storage systems using tools like SQL, ETL processes, and cloud platforms. It offers opportunities in industries such as finance, healthcare, and technology, with demand for skills in data modeling, database management, and analytics. Certification and continuous learning can enhance job prospects in this field.

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What are the key skills and qualifications needed to thrive as a Data Warehousing professional, and why are they important?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

How much do data warehouse workers make?

Data warehouse workers, such as data engineers and analysts, typically earn between $70,000 and $120,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in tools like SQL, ETL processes, and cloud platforms can earn higher salaries.

What does a data warehouse do?

A data warehousing professional designs, develops, and manages data warehouses that store large volumes of integrated data from multiple sources. Their role involves data modeling, ETL (extract, transform, load) processes, and ensuring data quality to support business intelligence and analytics. Skills in SQL, data modeling, and tools like Tableau or Power BI are often required.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that aggregate and organize large volumes of data for analysis and reporting. These roles typically require skills in SQL, data modeling, and tools like ETL (Extract, Transform, Load) processes, with professionals often working in environments that support business intelligence and data analytics.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.
More about Data Warehousing jobs
What cities are hiring for Data Warehousing jobs? Cities with the most Data Warehousing job openings:
What are the most commonly searched types of Data Warehousing jobs? The most popular types of Data Warehousing jobs are:
What states have the most Data Warehousing jobs? States with the most job openings for Data Warehousing jobs include:
What job categories do people searching Data Warehousing jobs look for? The top searched job categories for Data Warehousing jobs are:
Data Warehousing jobs near you
Infographic showing various Data Warehousing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Data Warehousing Specialist

Data Warehousing Specialist

Agelix Consulting

Lakewood, CO • On-site

Full-time

Re-posted 11 days ago

Job description

Job Summary for Senior Spatial Data Warehousing Specialist
- Lead the design, development, and implementation of data warehouses and data lakes, including geospatial and alphanumeric data.
- Integrate, consolidate, and geospatially enable data to support mapping, reporting, geospatial analysis, and self-service business intelligence (BI) needs.
- Utilize a variety of data warehousing tools and techniques, including traditional and modern data stack approaches, specifically for spatial data.
- Collaborate with project team members and leadership through effective task planning, project management, and coordination.
- Develop proof of concept and prototype reports, dashboards, and maps to help users visualize and analyze warehouse data.
- Support end users in mapping, reporting, and BI activities by publishing and maintaining accessible and reliable data sources.
- Apply advanced data analysis and data presentation skills to demonstrate the business value of spatial data environments.
- Bring at least 5 years of experience in building data warehouses (with spatial data) and developing data visualizations such as dashboards, reports, and maps.