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Data Warehousing Jobs in Riverside, CA (NOW HIRING)

EMCOR Mechanical Services, Inc.

Data Engineer

Irvine, CA · On-site

$115K - $145K/yr

Knowledge of data warehousing concepts and tools. * Familiarity with workflow orchestration tools (Airflow, Luigi). * Strong understanding of data governance and security principles. Physical Demands ...

EMCOR Mechanical Services, Inc.

Data Engineer

Irvine, CA

$115K - $145K/yr

Knowledge of data warehousing concepts and tools. * Familiarity with workflow orchestration tools (Airflow, Luigi). * Strong understanding of data governance and security principles. Physical Demands ...

auction

Data Analyst - Irvine, CA.

Irvine, CA · On-site +1

Basic understanding of data warehousing and data lake concepts; familiarity with enterprise data warehouse structures (e.g., star schema) is a plus * Strong analytical, problemsolving, and ...

Raas Infotek LLC

Data Analyst

Irvine, CA · On-site

Experience with ETL processes and data warehousing concepts. * Familiarity with Python, R, or SAS for data analysis and automation is preferred. * Strong analytical, problem-solving, and critical ...

New

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Understanding of data warehousing concepts, dimensional modeling, data marts, and analytical reporting structures. * Ability to analyze complex data issues and troubleshoot data discrepancies across ...

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All JobsData Warehousing JobsData Warehousing Jobs in Riverside, CA

Data Warehousing information

See Riverside, CA salary details

$10

$49

$85

How much do data warehousing jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data warehousing in Riverside, CA is $49.66, according to ZipRecruiter salary data. Most workers in this role earn between $32.99 and $65.25 per hour, depending on experience, location, and employer.

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What are the key skills and qualifications needed to thrive as a Data Warehousing professional, and why are they important?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What skills are needed for data warehousing?

Data warehousing professionals need strong skills in database management, SQL, and data modeling. Knowledge of ETL (Extract, Transform, Load) processes, data integration tools, and familiarity with cloud platforms like AWS or Azure are also important. Additionally, analytical skills and understanding of business intelligence concepts enhance effectiveness in this role.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

What does a data warehouse do?

A data warehousing professional manages the design, development, and maintenance of data warehouses, which are centralized systems that store large volumes of integrated data from multiple sources. Their role involves data modeling, ETL (extract, transform, load) processes, and ensuring data quality to support business intelligence and analytics. Skills in SQL, data modeling, and tools like Tableau or Power BI are often essential in this field.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that aggregate and organize large volumes of data for analysis and reporting. These roles typically require skills in SQL, data modeling, ETL processes, and familiarity with tools like Amazon Redshift, Snowflake, or Microsoft SQL Server. Professionals in this field support business intelligence and decision-making processes by ensuring data accuracy and accessibility.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.

What is the highest paying job in a warehouse?

In data warehousing, the highest paying roles are typically senior data architects or data engineering managers, who oversee data infrastructure and strategy. These positions often require advanced skills in database systems, cloud platforms, and data modeling, and they can command salaries significantly higher than entry-level or operational roles.
What are popular job titles related to Data Warehousing jobs in Riverside, CA? For Data Warehousing jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Warehousing jobs in Riverside, CA look for? The top searched job categories for Data Warehousing jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Warehousing jobs? Cities near Riverside, CA with the most Data Warehousing job openings:
Data Warehousing jobs near you

Data Warehouse Lead/developer

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Orange, CA

$60/hr

Full-time

Posted 12 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:
Bachelors or Masters 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