ZipRecruiter

Log In

1

Data Warehouse Jobs (NOW HIRING)

Kalera

Data Warehouse Engineer

Orlando, FL · On-site

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 ...

Ariston Tek Inc

Data Warehouse Architect

Herndon, VA · On-site

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 ...

Inteliblue

Data Warehouse Analyst

Tallahassee, FL · On-site

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 ...

Infojini Inc

Data Warehouse Programmer

Las Vegas, NV · On-site

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 ...

Stafford Gray

NY · On-site

The Data Platform Architect / Data Warehouse Architect (Level 5) tracks emerging industry capabilities for modern Enterprise Data Platforms (EDP), develops target‑state Data Platform Architecture ...

Socket.dev

Data Warehouse Architect

Lansing, MI · On-site

The Data Platform Architect / Data Warehouse Architect (Level 5) tracks emerging industry capabilities for modern Enterprise Data Platforms (EDP), develops target-state Data Platform Architecture ...

Stafford Gray

Data Warehouse Architect

Lansing, MI · On-site

The Data Platform Architect / Data Warehouse Architect (Level 5) tracks emerging industry capabilities for modern Enterprise Data Platforms (EDP), develops target-state Data Platform Architecture ...

Stafford Gray

Data Warehouse Architect

Lansing, MI · On-site

The Data Platform Architect / Data Warehouse Architect (Level 5) tracks emerging industry capabilities for modern Enterprise Data Platforms (EDP), develops target-state Data Platform Architecture ...

Cymertek Corporation

Data Warehouse Engineer

Aurora, CO · On-site

Cymertek Corporation is seeking a detail-oriented and innovative Data Warehouse Engineer to join their team. This role involves designing, building, and maintaining high-performance data warehousing ...

TekWissen

Tivoli Data Warehouse

Phoenix, AZ · On-site

Tool support forTivoli Data Warehouse (TDW) in support of global transition in all new data centers Qualifications Tool support forTivoli Data Warehouse (TDW) in support of global transition in all ...

Stafford Gray

Data Warehouse Architect

Lansing, MI · On-site

The Data Platform Architect / Data Warehouse Architect (Level 5) tracks emerging industry capabilities for modern Enterprise Data Platforms (EDP), develops target-state Data Platform Architecture ...

Overture Partners

Data Warehouse Analyst- Pipeline

We specialize in developing and maintaining state-of-the-art data warehouses that support data mining, analysis, and reporting. Our team values innovation, precision, and a collaborative approach to ...

previous page

Showing results 41-60

All JobsData Warehouse Jobs

data warehouse information

See salary details

$25K

$125.9K

$171K

How much do data warehouse jobs pay per year?

As of Sep 13, 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 is a data warehouse?

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 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 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 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 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 warehouse a good career?

A career as a data warehouse professional involves designing, developing, and maintaining data storage systems that support business intelligence and analytics. It requires skills in SQL, ETL processes, and familiarity with tools like Snowflake or Redshift. The role offers strong job growth, competitive salaries, and opportunities across various industries.

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 warehouse roles often require knowledge of database tools, ETL processes, and data modeling.

What skills are needed for data warehousing?

Data warehouse professionals need strong skills in SQL, data modeling, and ETL (Extract, Transform, Load) processes. Knowledge of database management systems, data integration tools, and familiarity with cloud platforms like AWS or Azure are also important. Additionally, analytical thinking and problem-solving skills are essential for designing efficient data solutions.
More about data warehouse jobs

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:

What are popular job titles for Data Warehouse?

Popular job titles for Data Warehouse:

data warehouse jobs near you
Infographic showing various Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.

Data Warehouse Engineer

Orlando, FL • On-site

Kalera
Food and Drink Manufacturing • 51 - 200 employees
Learn more about Kaleraexternal

Full-time

Re-posted 5 days ago

Key responsibilities

  • Manage the operations and analytics of the product data warehouse.

  • Develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI.

  • Architect and maintain data warehouses, including gathering requirements, designing, and implementing data models and ETL processes.

Job description

Description
What You'll Do
Our Data Warehouse Engineer will be part of a team that will manage the operations and analytics of the product data warehouse at Kalera. 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 will also evaluate and advise on database architecture in the product data warehouses. If you love cross-departmental collaboration, data warehouse design, technical execution, and thrive in an environment of project ownership then we want to hear from you.
Take a peek!
    • Works closely with IT partners and the product teams to lead and participate in the identification, planning, prioritizing, requirements gathering, design, development and implementation of all Data Warehousing and BI projects.
    • Architect and maintain data warehouses to support ease of data modeling, reporting, and analysis using dimensional model architecture (such as star schemas and OLAP cubes)
    • With support from the product team you will gather requirements to grow and improve the data warehouse for reporting, BI integration, and ad hoc analysis
    • Makes recommendations, based on data profiling and data analysis, for changes to existing/legacy systems particularly in the area of data warehouse architecture
    • Develop and maintain database stored procedures, views, and functions that support data models
    • Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
    • Develop and maintain ETL processes, diagnose and resolve database access and performance issues, and plan and coordinate backup and disaster recovery setup
    • Provide expert thought leadership in the development and implementation of data governance policies and processes
    • Provide data management support and work cooperatively with the product team to resolve data and process issues
    • Create and maintain technical documentation

What you'll have!
    • Bachelor's degree in Computer Science, Computer Engineering or relevant field.
    • At least five years or more of experience in ETL processes, data warehouse architecture and or administration within the Microsoft/SQL stack
    • Strong familiarity with Kimball methodologies of data warehousing
    • Ability to communicate verbally and in writing with end users and technical users to translate requirements from end users into useful visualizations and analysis
    • Comprehensive grasp of data visualization methods and data modeling for effective database architecture to streamline business analysis and reporting
    • SSMS, ETL Tooling, Reporting experience such as Power BI or equivalent tools
    • In-depth understanding of data management (e.g. permissions, recovery, security, and monitoring)
    • Broad business experience with proficient ability to talk in business terms
    • Excellent verbal and written communication skills

Equal Opportunity Employer
At Kalera, Inc. all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.

Apply