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Entry Level Data Modeling Jobs in California (NOW HIRING)

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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.

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.
Entry Level Software Engineer

Entry Level Software Engineer

SynergisticIT

Fremont, CA

Other

Posted 7 days ago

Job description

Job Opportunity

We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. SYNERGISTICIT wants every Job seeker to be aware that the Job Market is Challenging and to stand out you need to have exceptional skills and technologies which make you stand out from other Job seekers. If your skills and your project work are similar to others then it's difficult to stand out to the clients. Since 2010 we have helped Jobseekers stand out by ensuring only the best candidates with the requisite skillset go to the clients and get the attention that they need. We just don't focus on getting you a Job we make careers. We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists.

What You'll Do

As a member of the growing Data Science and Machine Learning (Client) Engineering team in Bain's Advanced Analytics Group, you will:

  • Provide technical expertise for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
  • Develop statistical/Client models to be handed over to clients as prototype or production software
  • Transform existing prototype code into scalable, production-grade software
  • Write, test, deploy and maintain machine learning code across the full software development lifecycle
  • Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common Client engineering problems across industries and business functions
  • Drive best demonstrated practices in software engineering, and share learnings with team members in SynergisticIT about theoretical and technical developments in Client engineering
About You
  • 0-3 years of engineering experience
  • Proficient knowledge of Python and SQL
  • Proficiency in one or more of R, Java, C++, Scala, Django
  • Fair understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
  • Basic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
  • Basic Knowledge of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface)
  • Basic Knowledge of probabilistic programming techniques and associated tools (e.g. Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods

We also offer optionally Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours.

Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can optionally opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates Please apply to the posting or share your updated resume at manav@synergisticit.com

No phone calls please. Shortlisted candidates would be reached out.

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