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Data Warehousing Jobs in Riverside, CA (NOW HIRING)

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 ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$121K - $145K/yr

... warehousing concepts, dimensional modeling, data marts, and analytical reporting structures. • Ability to analyze complex data issues and troubleshoot data discrepancies across systems. • Strong ...

Essc

Director, Data Engineering

Irvine, CA · On-site

Oversees the design, implementation, and optimization of enterprise data pipelines, data lakes, and data warehouses, ensuring data quality, reliability, and scalability. * Evaluates, recommends, and ...

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 ...

In-N-Out Burgers

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 ...

NAVA Software Solutions

QlikSense Consultant

Irvine, CA · On-site

$51.50 - $70.50/hr

Provide and coordinate trouble shooting support for dashboards and data warehouses * Assist and participate in the development of SQL scripts to validate data used by dashboards * Provide or ...

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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 Aug 5, 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?

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 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 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 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
Infographic showing various Data Warehousing job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,286 per year, or $49.7 per hour.

Senior Data Engineer

Conch Technologies Inc

Anaheim, CA • On-site

$111K - $150K/yr

Contractor

Posted 27 days ago

Job description

Job Title: Senior Data Engineer

Location: Anaheim, CA (Hybrid – 2 to 3 days onsite per week)
Duration:6+ Months
 

Note : W2 role No C2CJob Summary

We are seeking an experienced Senior Data Engineer to join our team in Anaheim, CA. 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, so local candidates from the Los Angeles or Orange County area are preferred.

Required Skills
  • 7+ years of experience as a Data Engineer or similar role.
  • Strong experience with Microsoft SQL Server.
  • Advanced SQL programming and query optimization skills.
  • Hands-on experience developing and maintaining SSIS ETL packages.
  • Experience designing and implementing data pipelines.
  • Strong understanding of data warehousing concepts and architectures.
  • Experience with data modeling and data integration.
  • Ability to analyze business requirements and translate them into scalable data solutions.
  • Strong troubleshooting and performance tuning skills.
Responsibilities
  • Design, develop, and maintain scalable ETL processes using SSIS.
  • Develop and optimize SQL Server databases, stored procedures, views, and queries.
  • Build and maintain reliable data pipelines for data ingestion and transformation.
  • Design and support enterprise data warehouse solutions.
  • Create logical and physical data models to support business reporting and analytics.
  • Integrate data from multiple sources while ensuring data quality and consistency.
  • Monitor ETL jobs, troubleshoot issues, and optimize performance.
  • Collaborate with business stakeholders, analysts, and development teams to deliver data solutions.
  • Document technical designs, processes, and data flows.
Preferred Qualifications
  • Experience working in enterprise data warehouse environments.
  • Knowledge of database performance tuning and optimization.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience working in Agile development environments.