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Data Warehouse Jobs in California (NOW HIRING)

AgreeYa Solutions

Lead Data Architect

Los Angeles, CA · On-site

We are seeking someone with deep technical skills in a variety of data warehouse related technologies to play an important role in developing and delivering early proofs of concept and production ...

Intellyk Inc.

Data Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The role involves working with advanced SQL, Spark, and ETL/Data warehouse technologies to support data initiatives. Responsibilities : • Advanced SQL (very important) • Spark (important) • ETL ...

3B Staffing LLC

Data Analyst / Data Modeler

Sacramento, CA · On-site

$59.75 - $77.25/hr

Experience with large data warehouse implementation projects * Performs data modeling in relational and dimensional models * Develops physical data model and/or works with architect to develop ...

3B Staffing LLC

Data Analyst / Data Modeler

Sacramento, CA · On-site

$59.75 - $77.25/hr

Experience with large data warehouse implementation projects * Performs data modeling in relational and dimensional models * Develops physical data model and/or works with architect to develop ...

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Showing results 21-40

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 7, 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.

Sr. Data Warehouse ETL Developer

3B Staffing LLC

Fairfield, CA • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

POSITION

Sr. Data Warehouse ETL Developer

LOCATION

Remote- The manager is open to candidates looking to be remote until conversion

While on Contract ideally:

  • Hybrid - 2 days in Fairfield, CA
  • Remote in CA - open to travel to be onsite for critical meetings

When converted or if we place direct:

Required - Hybrid - 2 days in Fairfield, CA

DURATION

4-6 Months, CTH

INTERVIEW TYPE

Video

VISA RESTRICTIONS

No Sponsorship

REQUIRED SKILLS

Need candidates to come from a medical/healthcare background or worst case financial industry.

I've been informed they are in a structured SQL environment, which is why healthcare & financial care candidates could work for them.

The manager is asking that we focus on Sr. Data Warehouse Developers (8-10 years total with this experience) with heavier Qlik Compose experience (3-5 years).

  • Compose experience:
    • Qlik Compose Development
    • Configuring tasks
    • Monitoring tasks
  • Qlik Replicate experience
  • Advanced SQL:
    • Need to know complex joins
    • Sub queries
    • Common table expression
    • Performance tuning techniques
    • Good debugging skills
    • Senior Level - 5-10 years of experience

Senior ETL Developer at Partnership HealthPlan of California:

  • Responsible for data extraction from multiples sources such as Oracle, SQL, SAS, Access, Flat files etc.
  • Experience leading ETL Developers on different projects such as adding new features to the Data Warehouse or creating Data Marts for our BI (Business Intelligence) Team.
  • Possess extensive experience in writing Complex Queries using Microsoft SQL (T-SQL) like (Derived Tables, Correlated Queries, While Loops, Variables, Merge Statements and so forth)
  • Creation, Optimization and Maintenance of Databases
  • Responsible for developing ETL Processes for the Enterprise Data Warehouse (EDW)
  • Provide support with Ad-Hoc queries or Data mart options to our Reporting Layers to be used by BI tools such as Tableau and Business Objects and soon, SSRSS and Power BI
  • Implementation of ETL Architecture
  • Implementing Data Models for Data Marts
  • Highly Adaptable and Experienced ETL Developer using SSIS and Attunity
  • Create Source to Target mapping document for tables used on the different schemas such as EDW (Star Schema) or for Data Marts
  • Responsible for presenting to Business Users any new enhancements done to our reporting capabilities utilizing visual tools such as PowerPoint and or Visio
  • I have knowledge working with Data Modeling Tool: ER/Studio from Embarcadero
  • I am a Quick Learner and Self-Motivated individual with Excellent Problem Solving

Skills

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