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Entry Level Data Warehouse Jobs in Riverside, CA

General information Name Warehouse Associate Nights Ref # 3397 City Ontario State California Country United States Function Warehouse BradyPLUS is now Imperial Brady! To learn more visit

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Entry Level Data Warehouse information

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$12

$17

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How much do entry level data warehouse jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for entry level data warehouse in Riverside, CA is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $19.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an entry level data warehouse position?

To thrive as an Entry Level Data Warehouse professional, you generally need a background in computer science, data management, or a related field, with basic knowledge of SQL and data modeling. Familiarity with data warehouse platforms (such as Amazon Redshift, Snowflake, or Microsoft SQL Server), ETL tools, and sometimes certifications like Microsoft Certified: Azure Data Fundamentals can be advantageous. Strong attention to detail, problem-solving skills, and an ability to communicate technical concepts clearly are valuable soft skills. These abilities allow you to effectively support data storage, retrieval, and integrity, which are crucial for business decision-making.

What is an entry level data warehouse?

An Entry Level Data Warehouse job involves assisting in the design, development, and maintenance of data storage systems. Responsibilities typically include data extraction, transformation, and loading (ETL) processes, ensuring data quality, and supporting database management. Professionals in this role work with SQL, data modeling, and business intelligence tools to help organizations organize and analyze large datasets. It's a great starting point for a career in data engineering, business intelligence, or analytics.

What does an entry level data warehouse do?

A typical day as an Entry Level Data Warehouse professional involves tasks like loading and validating data, writing simple SQL queries, troubleshooting data issues, and assisting with regular data maintenance processes. You’ll often work as part of a larger data engineering or analytics team, collaborating with business analysts and data scientists to ensure the correct data is available for reporting and analysis. As you gain experience, you may gradually be assigned more complex projects such as optimizing data pipelines or participating in data integration initiatives. This role provides a strong foundation for learning best practices in data warehousing and can open doors to more advanced data engineering or analytics positions in the future.

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