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Entry Level Data Warehousing Jobs in California (NOW HIRING)

Tech Consulting

Data Scientist

Los Angeles, CA · On-site

We are seeking a motivated Entry-Level Data Scientist with a strong interest in database ... Knowledge of data warehousing concepts, including star and snowflake schemas. * Exposure to ...

New

Emonics LLC

Data Engineer - Entry Level

Santa Rosa, CA · On-site

$125K - $150K/yr

We are looking for an enthusiastic and detail-oriented Data Engineer - Entry Level to join our data ... Extract, transform, and load data from various sources into data warehouses and data platforms.

New

VSolvit

SYSTEMS ENGINEER ANALYST

Norco, CA · On-site

Job Summary VSolvit is seeking an Entry-Level Systems Engineer to support the Naval Surface Warfare ... BI) systems, data warehousing, engineering services, and custom database and application ...

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

As of Sep 7, 2026, the average hourly pay for entry level data warehousing in California is $64.96, according to ZipRecruiter salary data. Most workers in this role earn between $56.44 and $75.43 per hour, depending on experience, location, and employer.

What is an entry level data warehousing job?

Entry level data warehousing jobs are positions designed for individuals who are new to the field of managing and organizing large sets of data for analysis and reporting. These roles typically involve supporting the development, maintenance, and optimization of data warehouses, which are centralized repositories that store data from various sources. Responsibilities may include data extraction, transformation, and loading (ETL), basic database management, and assisting with data quality checks. Entry level professionals often work under the supervision of experienced data engineers or analysts and gain experience with tools like SQL, ETL software, and data visualization tools. Most entry level roles require strong analytical skills, attention to detail, and a foundation in databases or computer science.

What are the key skills and qualifications needed to thrive as an entry level data warehousing professional?

To thrive as an Entry Level Data Warehousing professional, you need a solid understanding of database concepts, SQL, and basic data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools such as Microsoft SQL Server, Oracle, or cloud platforms like AWS Redshift, as well as certifications like Microsoft Certified: Azure Data Fundamentals, is beneficial. Attention to detail, problem-solving abilities, and effective communication help you accurately manage data and collaborate with technical teams. These skills are crucial for ensuring data integrity and supporting business intelligence efforts within organizations.

What are some common challenges faced by entry level data warehousing professionals, and how can they overcome them?

Entry level data warehousing professionals often encounter challenges such as understanding complex data models, working with large datasets, and learning new ETL (Extract, Transform, Load) tools. Adapting to rapidly changing technologies and ensuring data quality can also be demanding. To overcome these challenges, it is helpful to proactively seek mentorship from experienced team members, take advantage of online tutorials or company training resources, and regularly practice hands-on tasks within your projects. Collaboration and open communication with team members can also accelerate learning and help resolve technical issues more efficiently.

What is the difference between Entry Level Data Warehousing vs Data Analyst?

AspectEntry Level Data WarehousingData Analyst
Required CredentialsBasic SQL, data management certifications, relevant degreeStatistical, analytical, and data visualization skills, often with similar certifications
Work EnvironmentData warehouses, ETL processes, database management systemsData analysis tools, dashboards, reporting platforms
Employer & Industry UsageTech, finance, healthcare, retail companies managing large datasetsMarketing, finance, consulting, and other sectors analyzing data for insights

Entry Level Data Warehousing focuses on managing and organizing large datasets within data warehouses, while Data Analysts interpret data to generate reports and insights. Both roles require similar foundational skills but differ in daily tasks and focus areas.

How to get into entry level data warehousing?

To enter an entry-level data warehousing role, develop foundational skills in SQL, data modeling, and ETL processes. Gaining experience with tools like Microsoft SQL Server, Oracle, or cloud platforms such as AWS or Azure, along with relevant certifications, can improve job prospects.

What are the most commonly searched types of Data Warehousing jobs in California?

The most popular types of Data Warehousing jobs in California are:

What are popular job titles related to Entry Level Data Warehousing jobs in California?

For Entry Level Data Warehousing jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Warehousing jobs in California look for?

The top searched job categories for Entry Level Data Warehousing jobs in California are:

Entry Level Data Warehousing jobs near you
Infographic showing various Entry Level Data Warehousing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,115 per year, or $65 per hour.

Entry-Level Data & AI Consultant

PCS Global Tech

San Diego, CA • On-site

Other

Posted yesterday

New

Job description

Overview:

We are a technology consulting company with 29+ years of experience and 1,100+ employees. With a global presence across the U.S., India, UK, Canada, and Costa Rica, we support 500+ clients across commercial and government sectors, including Fortune 500 companies. As part of this opportunity, candidates receive hands-on preparation, career support, and exposure to real-world client projects and technology environments, with opportunities to build practical, client-facing experience across multiple client settings.


We are looking for recent STEM graduates interested in entry-level Data and AI opportunities. Candidates may be considered for Data Track or AI Track based on their interests, skills, and technical readiness.

Each track is designed to build practical, job-relevant skills aligned with real-world client technology environments.


• Data Track: SQL, T-SQL, Data Modeling, Data Warehousing, Power BI, Tableau, Snowflake, Databricks, Azure, AWS, data engineering, and cloud data platforms.

• AI Track: Python, Applied AI/ML, Azure OpenAI, RAG, LLM concepts, Databricks, MLflow, and AI-enabled data engineering.


What We’re Looking For:

• Recent graduate with a Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, Data Science, or a related STEM field

• SQL fundamentals and basic programming knowledge

• Python knowledge preferred

• Strong interest in Data Track or AI Track and a client-facing consulting career

• Strong logical reasoning and communication skills

• Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship

• Open to remote, hybrid, or onsite client opportunities and relocation within the United States where required


Apply