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Entry Level Data Modeling Jobs in California (NOW HIRING)

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Good understanding of the below models: * Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of ...

Axos Bank

Staff Auditor

San Diego, CA

$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

Pwc

Data Engineer - Senior Associate

Los Angeles, CA

$77K - $202K/yr

... modeling and directed acyclic graphs (DAGs) for efficient data organization and processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

... modeling and directed acyclic graphs (DAGs) for efficient data organization and processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

... modeling and directed acyclic graphs (DAGs) for efficient data organization and processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

San Diego, CA

$77K - $202K/yr

... modeling and directed acyclic graphs (DAGs) for efficient data organization and processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Sacramento, CA

$77K - $202K/yr

... modeling and directed acyclic graphs (DAGs) for efficient data organization and processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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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.

Can I work a data entry job with no experience?

Entry level data modeling roles typically require some familiarity with database concepts and basic data management tools, but many employers accept candidates with little to no experience if they demonstrate strong attention to detail and willingness to learn. Basic skills in Excel or similar software can be sufficient to start, and on-the-job training is often provided. Certifications in data management or related areas can improve prospects but are not always mandatory for entry-level positions.

Is 40 too late for data science?

Entry level data modeling roles typically require foundational skills in database design, SQL, and data analysis. Age is not a barrier; many professionals transition into data science or modeling careers later in life by acquiring relevant certifications and skills through online courses or bootcamps.

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 to start with data modelling?

Entry level data modeling involves understanding database concepts, learning data normalization, and practicing with tools like ER diagrams and SQL. Gaining familiarity with data management principles and obtaining certifications such as Microsoft Certified: Data Analyst can also help build foundational skills for this role.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, especially in complex or evolving environments. Data modelers who develop skills in data governance and modeling tools will continue to be valuable in the job market.

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 June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Entry Level Data Scientiest

Entry Level Data Scientiest

SynergisticIT

Los Angeles, CA • On-site

$18 - $24/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to client trends and patterns
  • Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
  • Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
  • Unsupervised/Clustering algorithms
  • NLP models, Deep Learning models for image classification
Desired Candidate Profile

Skills required:

  • Hands on experience Python scripting
  • Hands on experience in building Machine Learning and Artificial Intelligence models
  • Good knowledge on Exploratory Data Analysis (EDA)
  • Hands on experience on platforms - Microsoft Azure/Amazon Web Services
  • Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
  • Excellent English communication (both oral and written) and reading comprehension skills.
  • Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

  • On Job Technical support
  • E- verified
  • Filing of H1b and Green card
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

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