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Data Warehouse Jobs in California (NOW HIRING)

TestingXperts

Data Warehouse Testing

Torrance, CA · On-site

$18.50 - $24/hr

Data Warehouse Testing Location: Torrance, CA Duration: 6+ Months Must Have Skills: * Experience in BIDW initiative projects * 4 to 5 years PM role with experience of full project life cycle

SA Technologies Inc.

Data Warehouse Specialist

San Ramon, CA · On-site

$19.75 - $25.75/hr

Work on DW, ODS, Data Marts, and Reporting Solutions * Engage with business and IT stakeholders to understand the business process flow and current constraints * Perform Data profiling, scalability ...

Jobsbridge

Data Warehouse Developer

San Francisco, CA · On-site

$58 - $79.50/hr

Design, develop, implement, and maintain rich dashboards and reports using Power View, Power Pivot, Excel, SSRS and Sharepoint Enhance and maintain analysis services cubes using SSAS Ensure that data ...

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All JobsData Warehouse JobsData Warehouse Jobs in California

Data Warehouse information

See California salary details

$24.7K

$124.2K

$168.8K

How much do data warehouse jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data warehouse in California is $124,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $157,900.00 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 are the most commonly searched types of Data Warehouse jobs in California?

The most popular types of Data Warehouse jobs in California are:

What cities in California are hiring for Data Warehouse jobs?

Cities in California with the most Data Warehouse job openings:

Data Warehouse jobs near you
Infographic showing various Data Warehouse job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $124,204 per year, or $59.7 per hour.

Data Warehouse Engineer

Cadence Design Systems Inc.

San Jose, CA

$101K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 247 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

A hardworking, highly motivated Data warehouse engineer and should have collaboration skills, ability to work across multiple domains and software disciplines to achieve results. This is an experienced and hands-on Data Warehouse developer position that requires research, analysis, design, and development of solutions per our business requirements.

To work closely with business users, collect business requirements, prepare design documents, develop ETL logic and validation scripts to ensure 100% data accuracy, design security control, and deploy and monitor solutions in

production.

Role: Data Warehouse Engineer
Location: San Jose, CA (onsite position)

Key Responsibilities
Data Modelling - Designing and developing data models to efficiently store and retrieve information.
ETL Development - Creating and optimizing ETL processes to extract, transform, and load data from various sources ensuring data consistency and quality
Design, implement and maintain Data Pipelines using ADF
Database Design and Implementation: Designing and implementing relational and multidimensional database structures within the data warehouse.
SQL Query Development: Writing efficient SQL queries, stored procedures, and functions to extract, manipulate, and analyze data.
Database/ Performance Optimization: Optimizing database performance through indexing, query tuning, and other optimization techniques.
Data Management: Ensuring data integrity, security, and consistency across multiple environments.
Troubleshooting and Problem Solving: Troubleshooting and resolving Datawarehouse-related issues and errors.
Reporting and Analysis: Developing and providing reports and dashboards based on data warehouse data.

Skills and Qualifications:
7+ years of experience in DW/BI space in both designing the model and building analytics. At least executed two end-to-end implementations. At least worked for min. 2 year in Azure SQL and ADF
SQL / Relational Database Proficiency: Strong knowledge of SQL syntax, database design principles, and SQL Server, Oracle or other database systems.
Data Management: Experience with data modeling, data warehousing, and ETL (Extract, Transform, Load) processes
Proficient in Infor Omni-Channel Campaign Management- Enterprise Marketing Suite - creating jobs, ETL process in Infor Admin, setting up jobs, creation of reports, creating/updating users and Groups
Preferred Understanding of IBM WAS (Web Application server) - node agents, manager, applications
Strong understanding of Azure Data Factory: Expert-level knowledge of Azure Data Factory's features, capabilities, and best practices.
Master in Azure SQL stack architecture (SQL Server, SQL Warehouse and Azure Data factory)
Understanding of data analysis principles and reporting techniques.
Preferred knowledge of python, Pentaho, or shell scripting
Problem-solving and Analytical Skills: Ability to identify and resolve data warehouse issues and analyze complex data sets.
Communication Skills: Ability to communicate technical concepts to both technical and non-technical audiences.
Functional knowledge of common business processes like quote to cash, clickstream analysis, revenue, booking, billing, etc. is desirable.

Education: Bachelor's degree in computer science, a related field or equivalent experience.

The annual salary range for California is $101,500-$188,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits.Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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