2

Entry Level Data Modeling Jobs in California (NOW HIRING)

... Language Models (LLMs) and cloud platforms. If you are eager to learn and grow in the rapidly ... Apply your knowledge of data structures and algorithms to help solve complex challenges in a ...

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

This is an entry-level research role for individuals with less than 3 years of research experience ... These models improve through a tight feedback loop: design experiments, collect data, train or fine ...

DSP Algorithms Engineer (Entry-Level)

El Segundo, CA

$79K - $106K/yr

  • Medical

  • Life

  • Retirement

Conducting performance analysis of signal processing models * Performing waveform development and ... Experience with performance characteristics of analog electronics or data converters (ADCs / DACs)

DSP Algorithms Engineer (Entry-Level)

El Segundo, CA

$79K - $106K/yr

  • Medical

  • Life

  • Retirement

Conducting performance analysis of signal processing models * Performing waveform development and ... Experience with performance characteristics of analog electronics or data converters (ADCs / DACs)

DSP Algorithms Engineer (Entry-Level)

El Segundo, CA · On-site

$79K - $106K/yr

  • Medical

  • Life

  • Retirement

Conducting performance analysis of signal processing models * Performing waveform development and ... Experience with performance characteristics of analog electronics or data converters (ADCs / DACs)

Showing results 21-40

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.
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.

Junior Data Scientist/AI Engineer - Junior (Remote)

SynergisticIT

Long Beach, CA • On-site

Other

Posted 5 days ago


Job description

Entry-Level AI Programmer — Learn to Build Useful AI Applications AI is changing how companies build products, automate work, analyze information, and serve customers. But entry-level AI candidates need practical skills, not just curiosity. Employers value candidates who can program, work with data, build models, use APIs, and explain how AI output supports a real use case. SynergisticIT is looking for candidates interested in Python, machine learning, NLP, automation, data processing, APIs, model evaluation, and AI-powered applications. This opportunity is ideal for candidates who want to enter AI from a programming or data foundation and develop skills that are easier for employers to assess. SynergisticIT JOPP is good for AI-focused candidates because it helps connect AI learning with job-market expectations. Candidates can focus on practical projects, technical fundamentals, interview readiness, resume positioning, and a clearer path toward junior AI, ML, data science, or software roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. 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. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack 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 Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ If you want to build practical AI skills for career growth, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.