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Data Warehouse Jobs in Riverside, CA (NOW HIRING)

Inland Empire Health Plan

Data Engineer II

Rancho Cucamonga, CA · On-site

$104K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design and develop data warehouse Extraction, Transformation and Loading (ETL) solutions using Microsoft SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Az Data Bricks ...

Inland Empire Health Plan

Data Engineer II

Rancho Cucamonga, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design and develop data warehouse Extraction, Transformation and Loading (ETL) solutions using Microsoft SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Az Data Bricks ...

Conch Technologies Inc

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

The ideal candidate will have a strong background in SQL Server, ETL development, data warehousing, and data integration. This is a hybrid role requiring candidates to work onsite 2-3 days per week ...

Jobsbridge

BigData Consultant

Santa Ana, CA · On-site

$55.25 - $71.50/hr

Responsible for BigData (1.3) / data warehouse Maintenance, Clean up, monitoring with heavy loads. Acts as a lead in identification and troubleshooting processing issues impacting timely availability ...

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All JobsData Warehouse JobsData Warehouse Jobs in Riverside, CA

Data Warehouse information

See Riverside, CA salary details

$26.1K

$131.3K

$178.4K

How much do data warehouse jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data warehouse in Riverside, CA is $131,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $166,900.00 per year, depending on experience, location, and employer.

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 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.

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 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.

More about Data Warehouse jobs

What are the most commonly searched types of Data Warehouse jobs in Riverside, CA?

The most popular types of Data Warehouse jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Warehouse jobs?

Cities near Riverside, CA with the most Data Warehouse job openings:

Data Warehouse jobs near you
Infographic showing various Data Warehouse job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,298 per year, or $63.1 per hour.

Data Warehouse Lead/developer

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Orange, CA • On-site

$60/hr

Full-time

Re-posted 18 days ago

Job description

Job Duties – Data Warehouse Lead
Lead the design, development, and implementation of enterprise data warehouse solutions supporting analytics and reporting initiatives
Architect and manage ETL/ELT pipelines using Informatica PowerCenter and IDMC to integrate data from multiple source systems
Define and enforce data architecture standards, data models, and best practices for scalability and performance
Oversee development of data marts, dimensional models (star/snowflake schemas), and optimized warehouse structures
Collaborate with business stakeholders to translate requirements into data solutions, dashboards, and reporting frameworks
Drive development of BI dashboards and reporting solutions using Tableau, Power BI, and MicroStrategy
Ensure data quality, governance, and security compliance, including data validation, lineage, and audit processes
Lead and mentor a team of data engineers, ETL developers, and analysts; provide technical guidance and code reviews
Optimize query performance, ETL workflows, and database tuning for large-scale datasets
Implement automation and data processing solutions using Python to improve efficiency and reduce manual effort
Manage data migration, integration, and modernization initiatives, including cloud-based data platforms
Coordinate with DevOps and infrastructure teams for deployment, CI/CD, and environment management
Establish and monitor KPIs, SLAs, and data pipeline health metrics
Provide leadership in data strategy, governance, and roadmap planning aligned with organizational goals
Communicate technical solutions and insights effectively to both technical and non-technical stakeholders
Nice Add-ons (if needed for JD completeness)
Minimum Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
8+ years of experience in data warehousing, ETL, and BI solutions
Strong expertise in Informatica (PowerCenter, IDMC), SQL, and data modeling
Hands-on experience with Tableau, Power BI, or MicroStrategy
Proficiency in Python for data engineering and automation