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Data Warehouse Jobs (NOW HIRING)

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract Transform Load) solutions that support strategic ...

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

We offer an excellent compensation package Title:- Data Warehouse Programmer Duration :- 5 Months Location :- Las Vegas , NV The Data Warehouse Programmer is a key member of the Enterprise Data ...

Data Warehouse Developer

Saint Paul, MN · On-site

$49.75 - $68.25/hr

Data Warehouse Developer Location: St. Paul, MN Duration: 6+ months Client: Direct Client Roles and Responsibilities: Manage respective data warehouse to deployment including driving all related ...

Title: Data Warehouse Analyst Location: Tallahassee, FL Duration: Long Term Interview Type: In-person. Required Skills: * 7 Years experience in Data Warehousing and Data Integration. * 4 Years ...

Apply Early

Data Warehouse Architect Location: Herndon/Reston, VA Type: Full-Time Required Skills: * Rich experience in Data Warehouse of overall 12+ years of experience into Data Warehouse arena, primarily ...

Data Warehouse Developer

Huntsville, AL

$48.50 - $66.50/hr

Data Warehouse Developer / Data Engineer We are looking for an experienced Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a strong ...

Data Warehouse Developer

Huntsville, AL · On-site

$46 - $63/hr

Data Warehouse Developer / Data Engineer We are looking for an experienced Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a strong ...

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Data Warehouse information

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$25K

$125.9K

$171K

How much do data warehouse jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that integrate and organize large volumes of data for analysis and reporting. These roles typically require skills in SQL, data modeling, and familiarity with tools like ETL processes and data warehouse platforms such as Amazon Redshift or Snowflake. Professionals in this field support business intelligence and decision-making processes by ensuring data accuracy and accessibility.

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

To excel as a Data Warehouse professional, you need a solid grasp of database design, ETL (extract, transform, load) processes, SQL, and data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehouse tools such as Microsoft SQL Server, Oracle, Informatica, and cloud platforms like AWS Redshift or Google BigQuery is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These competencies ensure accurate, scalable data solutions that drive informed business decisions.

What is the highest paying job in a warehouse?

In a data warehouse environment, the highest paying roles are typically data warehouse architects and senior data engineers, who design and manage complex data systems. These positions often require advanced skills in SQL, ETL tools, and cloud platforms, and they can command salaries significantly higher than entry-level data analysts or support staff.

What is the difference between Data Warehouse vs Data Analyst?

AspectData WarehouseData Analyst
Primary RoleStores and manages large volumes of data for analysisAnalyzes data to generate insights and reports
Required SkillsDatabase management, ETL processes, SQL, data modelingData analysis, visualization, SQL, Excel
Work EnvironmentData centers, cloud platforms, IT teamsBusiness units, analytics teams, reporting tools
Common CertificationsCertified Data Management Professional (CDMP), Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Google Data Analytics Certificate

While a Data Warehouse focuses on storing and organizing data for analysis, a Data Analyst interprets that data to provide actionable insights. Both roles often collaborate but serve different functions within data management and analysis workflows.

Is data warehousing a good career?

Data warehousing is a viable career path involving designing, building, and maintaining large-scale data storage systems. It requires skills in SQL, ETL processes, and tools like Snowflake or Redshift, with demand driven by data-driven decision-making across industries.

What are the common challenges faced by professionals working in Data Warehouse roles, and how can they be addressed?

Professionals in Data Warehouse roles often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and optimizing query performance. Addressing these issues typically involves close collaboration with data engineers, database administrators, and business analysts to establish clear data governance standards and implement robust ETL (Extract, Transform, Load) processes. Staying up to date with the latest data warehousing technologies and regularly monitoring system performance also help in overcoming these challenges, resulting in more reliable and efficient data storage and retrieval.

What are data warehouses?

A data warehouse is a centralized repository designed to store, manage, and analyze large volumes of structured data from multiple sources. It enables organizations to consolidate data, making it easier to generate reports, perform analytics, and make data-driven decisions. Data warehouses are optimized for read-heavy operations and complex queries, supporting business intelligence and long-term historical analysis. They differ from traditional databases by focusing on analytical processing rather than day-to-day transaction processing.

What does a data warehouse do?

A data warehouse is a system used by data warehouse professionals to store, organize, and analyze large volumes of structured data from multiple sources. It enables efficient querying and reporting, supporting business intelligence and decision-making processes. Data analysts and engineers often work with tools like SQL and ETL processes to maintain and utilize data warehouses.

What Are the Qualifications to Get a Data Warehouse Job?

The qualifications to get a data warehouse job differ by position and level of responsibility. To be a data entry worker or data clerk, you typically need a high school diploma and some technical competency, such as familiarity with spreadsheets or other simple data entry systems. To be a data warehouse architect or developer, you typically need a bachelor’s degree in information technology or computer science, and strong technical skills, including data analysis and programming in SQL and other database and server languages. Familiarity with proprietary software and hardware from companies such as Oracle is also important.

What cities are hiring for Data Warehouse jobs? Cities with the most Data Warehouse job openings:
What are the most commonly searched types of Data Warehouse jobs? The most popular types of Data Warehouse jobs are:
What states have the most Data Warehouse jobs? States with the most job openings for Data Warehouse jobs include:
Infographic showing various Data Warehouse 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, with an average salary of $125,852 per year, or $60.5 per hour.
Data Warehouse Architect

Full-time

Posted 18 days ago


Job description

Role : Data Warehouse Architect
Salem, OR - Remote/Relocation
Locals Required
Only W2 - NO C2C
Note: Remote work/Telecommuting arrangements will be subject to the Key Person's availability to engage with OHA/ODHS staff during standard business hours, Monday through Friday, 8:00 AM to 5:00 PM Pacific Standard Time, excluding recognized State of Oregon holidays and business closures. Key Person must also provide their own adequate office equipment and connectivity.
Qualifications:
  • Extensive experience in conceptual and dimensional data modeling, including star schema design for data warehouses.
  • Strong proficiency in data modeling tools such as Microsoft Visio and/or Erwin.
  • Demonstrated ability to create clear and accurate data documentation, including entity definitions, mappings, and data dictionaries.
  • Strong verbal and written communication skills, with the ability to facilitate discussions and document requirements across technical and non-technical audiences.
  • Experience working with data warehouse teams, including DBEs and DBAs, in enterprise environments.
  • Familiarity with human services programs or public sector data systems is preferred.
  • Knowledge of data governance, metadata, and ETL processes is a plus.

Required skills and experience:
  • Data Analysis (7-9 years of experience)
  • Data Modeling in conceptual data modeling for large, complex system (7-9 years of experience)
  • Data Warehousing (4-6 years of experience)
  • SQL (7-9 years of experience)
  • Microsoft Visio and/or Erwin data modeler (4-6 years of experience)
  • Strong understanding, experience in design dimensional models and data modeling methodologies
  • Excellent verbal and written communication
  • Demonstrated ability to work closely with:
  • Business analysts and program subject matter experts
  • Database Engineers
  • Database Administrators
  • External contractors and project team

In addition, the ideal candidate will have skills and experience in:
  • Experience working with public sector, human services, or healthcare data systems (e.g., APD, CAM/CALMS, MMIS)
  • Familiarity with data governance, data cataloging, and metadata management initiatives
  • Experience supporting data warehouse development using SQL Server, Snowflake, or similar platforms