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Entry Level Data Modeling Jobs in California (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Sacramento, CA

$99K - $232K/yr

... models to be useful and scalable. You will also identify opportunities that contribute to the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, CA

$99K - $232K/yr

... models to be useful and scalable. You will also identify opportunities that contribute to the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

... models to be useful and scalable. You will also identify opportunities that contribute to the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

San Diego, CA

$99K - $232K/yr

... models to be useful and scalable. You will also identify opportunities that contribute to the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Axos Bank

Staff Auditor

San Diego, CA · On-site

$22 - $34.50/hr

Support data modeling and analysis effortsto identify risk patterns and anomalies across large ... Internship or entry-level exposure to audit, data analysis, or financial services preferred

Axos Bank

Staff Auditor

San Diego, CA · On-site

$22 - $34.50/hr

Support data modeling and analysis efforts to identify risk patterns and anomalies across large ... Internship or entry-level exposure to audit, data analysis, or financial services preferred

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All JobsData Modeling JobsEntry Level Data Modeling JobsEntry Level Data Modeling Jobs in California

Entry Level Data Modeling information

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

AspectEntry Level Data ModelingData Analyst
Required CredentialsBachelor's in CS, IS, or related; basic understanding of databasesBachelor's in Statistics, Math, or related; proficiency in data tools
Work EnvironmentDesigning data structures, collaborating with DBAs and developersAnalyzing data sets, creating reports, working with business teams
Industry UsageUsed in database design, data warehousing, and system developmentApplied in business intelligence, reporting, and data-driven decision making

Entry Level Data Modeling focuses on designing and structuring data systems, while Data Analysts interpret data to provide insights. Both roles require foundational data knowledge but differ in their primary tasks and focus areas within the data ecosystem.

What are the key skills and qualifications needed to thrive as an Entry Level Data Modeler, and why are they important?

To thrive as an Entry Level Data Modeler, you need a solid understanding of database concepts, data structures, and basic SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ER/Studio, Microsoft Visio, or IBM InfoSphere Data Architect, and knowledge of relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication help you clarify requirements and present technical information to stakeholders. These skills and qualities ensure that data models are accurate, scalable, and aligned with business needs, supporting successful data-driven projects.

What is entry level data modeling?

Entry level data modeling involves creating and organizing data structures, such as diagrams and databases, to represent and manage information within an organization. Professionals in this role typically use tools to define how data is stored, accessed, and related, ensuring it supports business needs. Entry-level data modelers work closely with senior analysts and IT teams to learn best practices and standards. This position is ideal for those with foundational knowledge in databases, analytical thinking, and an interest in data-driven decision making.

How does an entry-level data modeler typically collaborate with other teams during a project?

As an entry-level data modeler, you will often work closely with business analysts, software engineers, and database administrators to translate business requirements into effective data structures. Collaboration often involves participating in meetings to gather requirements, reviewing data needs, and ensuring your models align with both business goals and technical constraints. You may also assist in refining models based on feedback and help maintain clear documentation for future reference. This teamwork not only improves your technical skills but also helps you understand the broader context of data-driven decision-making within the organization.
What are the most commonly searched types of Data Modeling jobs in California? The most popular types of Data Modeling jobs in California are:
Entry Level Data Modeling jobs near you
Infographic showing various Entry Level Data Modeling job openings in California as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Jr Java Developer/Entry level data scientist

Jr Java Developer/Entry level data scientist

SynergisticIT

Berkeley, CA

Other

Posted 15 days ago

Job description

Since 2010, SynergisticIT has helped thousands of job seekers move into high-growth roles at companies like Apple, Google, PayPal, Visa, Client, and Walmart Labs. We've seen firsthand that career changers with the right support can outshine even traditional CS grads-because they bring both technical skills and business perspective to the table.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates

  • please check the below links
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT
Wage-Based H-1B Filing
Backend vs. Full Stack Development: Job Prospects | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Is AI Going to Replace Software Programmers? | SynergisticIT
If you're coming from a role in business, QA, or project management, you're already ahead in many ways:
  • You understand team dynamics, stakeholder needs, and business context
  • You've worked with tech teams-and maybe even dabbled in SQL, JIRA, or light coding
  • You know how to solve problems, manage timelines, and think analytically
What you might be missing are the technical building blocks, hands-on tools, and confidence to interview like an engineer. That's exactly where SynergisticIT comes in.
Your Path Into Tech-Mapped and Guided
We don't believe in one-size-fits-all. We work on
  • Java Full Stack Development -Core Java, Spring Boot, REST APIs, Microservices, Git, and AWS
  • DevOps and Cloud Engineering -CI/CD, Docker, Jenkins, Kubernetes, Infrastructure-as-Code, and cloud platforms
  • Data Science and AI -Python, machine learning, NLP, model deployment, and tools like TensorFlow and SageMaker
  • Data Analytics and Engineering -SQL, Power BI, Tableau, Snowflake, Databricks, Python ETL, and more
We focus on employer needs-so not only skills, but the projects and certifications that hiring managers want to see.
Real Outcomes, Real Results
We're proud of our candidates who went from:
  • QA Analyst → Java Developer
  • Business Analyst → Data Scientist at a FinTech startup
  • Project Manager → DevOps Engineer at a cloud-native company
  • Explore their journeys:
    Java Placement Program
  • Data Science Program
  • USA Today Coverage
  • Interview Questions & Blogs
  • YouTube Event Videos
  • Candidate Success Outcomes

Interview Prep Resources:
https://www.synergisticit.com/interview-questions/
No CS Degree? No Problem.
We welcome candidates from all educational and career backgrounds, including those with career gaps or visa sponsorship needs. We even assist with STEM OPT extensions, H-1B filing, and Green Card processing.
Open Roles We're Hiring For our clients:
  • Entry-Level Software Programmers (Java/Python)
  • Java Full Stack Developers
  • Data Analysts & BI Engineers
  • Data Scientists & ML Engineers
All visa types and U.S. citizens are encouraged to apply.
Ideal Candidates:
  • Recent grads in CS, Engineering, Math, or Statistics
  • Professionals seeking a career switch to tech
  • Candidates with career gaps or lacking real-world experience
  • Individuals looking to boost their skill portfolio for better job prospects

The First Step Is Yours
If you're ready to stop watching job postings and start preparing to land one, it's time to connect with us. Whether you need skill enhancement or just job search support, we'll help you become the kind of candidate tech companies are actively hiring.
You don't have to start over-you just have to start smarter.
explore us at SynergisticIT.com

Apply