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Data Warehouse Jobs (NOW HIRING)

Heart2Hire

Data Warehouse Analyst

Montville, CT · On-site

Data Warehouse AnalystIntroduction: We are seeking a skilled Data Warehouse Analyst to join our team in Uncasville, CT. The Data Warehouse Analyst will be responsible for analyzing, designing, and ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

We are seeking a Data Warehouse Analyst to join our team. This role will involve gathering and analyzing business requirements, designing and managing enterprise data warehouse solutions, and ...

Damco

Data Warehouse Architect

Lansing, MI · On-site

Data Warehouse Architect We are seeking an experienced Data Warehouse Architect to join the Child Welfare Data Warehouse team. The ideal candidate will support the development of federal reporting ...

vTech Solution

Data Warehouse Architect

Austin, TX · On-site

Data Warehouse Architect We pride ourselves for having one of the fastest growth rate and also the lowest turnover rates in the industry just 2.5 percent annually. We focus on the training and ...

Netsynk

Data Warehouse Analyst

New London, CT · On-site

Data Warehouse Analyst Location: Uncasville, CT Work Mode: Hybrid Experience Required: 2-10 Years Employment Type: Full-Time / Contract Role Overview We are seeking a Data Warehouse Analyst to ...

Apex Informatics

Data Warehouse Developer

New York, NY · On-site

$54 - $73.75/hr

Sr Enterprise Data Warehouse Developer NYC (hybrd role) Look candidates within NY Must-haves: Data Warehousing expert Sourcing data, transforming data, star schema, landing, dimensions, data ...

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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.

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:
Data Warehouse jobs near you
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 Analyst

Connective Business Solution

Tallahassee, FL • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
Connective Business Solution is seeking a Data Warehouse Analyst to gather and assess business information needs and prepare system requirements. The role involves performing analyses, development, and evaluation of data mining in a data warehouse environment, ensuring data accuracy, and providing technical consulting to users.
Responsibilities:
• Responsible for gathering and assessing business information needs and preparing system requirements.
• Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata and repository creation.
• Uses data mining and data analysis tools.
• Reviews and validates data loaded into the data warehouse for accuracy.
• Interacts with user community to produce reporting requirements.
• Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
• Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses.
• Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments.
• Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools.
• Must have an extensive knowledge of data warehouse and data mart concepts.
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience.
• A minimum of 3 years of IT work experience in business intelligence tools and systems.
• Responsible for gathering and assessing business information needs and preparing system requirements.
• Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata and repository creation.
• Uses data mining and data analysis tools.
• Reviews and validates data loaded into the data warehouse for accuracy.
• Interacts with user community to produce reporting requirements.
• Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
• Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses.
• Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments.
• Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools.
• Must have an extensive knowledge of data warehouse and data mart concepts.
• Intermediate professional level role.
• Provides data warehouse architectural design, development and support in multi-platform environments.
• Works on multiple projects as a team member and may lead projects of moderate complexity.
• May coach more junior technical staff.
Company:
Welcome to Connective Business Solution – your trusted partner in driving business success for small and medium-sized enterprises (SMBs) as well as large-scale and government projects. Founded in 2022, the company is headquartered in Orlando, US, , with a team of 11-50 employees. The company is currently Early Stage.

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