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Entry Level Data Modeling Jobs in California (NOW HIRING)

GTS FZCO

Computer Systems Analyst

Dublin, CA · On-site

... 2-3 entry-level and mid-level systems analysts, apply independent, advanced technical and ... Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling ...

GTS FZCO

Computer Systems Analyst

Dublin, CA · On-site

... 2-3 entry-level and mid-level systems analysts, apply independent, advanced technical and ... Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling ...

Tata Consultancy Services

... 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 ...

New

Generalist AI, Inc

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 ...

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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.

Is 40 too late for data science?

Entry level data modeling roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, data visualization, and understanding of data structures. Many professionals transition into data science or modeling careers later in life by gaining certifications or completing relevant training programs.

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 Associate can also help build foundational skills.

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves designing and understanding complex data structures that require domain knowledge and critical thinking. AI tools can assist with automating routine tasks and data analysis, but human expertise remains essential for creating effective data models and ensuring data quality. Entry-level data modelers should focus on developing skills in data architecture, modeling tools, and understanding business requirements to stay valuable in the evolving field.

Can I get into data analytics with no experience?

Entry level data modeling roles often require some understanding of data structures, databases, and basic analytics tools like Excel or SQL. While prior experience is not always mandatory, gaining relevant skills through online courses, certifications, or hands-on practice can improve your chances of entering data analytics or data modeling positions.

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.
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.
Data Steward Technician

Data Steward Technician

Cramer Fish Sciences

West Sacramento, CA • On-site

$24 - $30/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Cramer Fish Sciences is seeking a full-time Data Steward Technician to join our team in West Sacramento, CA to support data stewardship activities. This entry-level role is ideal for recent graduates with a strong interest in data management within biological or environmental sciences. The Data Steward Technician will assist in collecting, organizing, and maintaining high-quality datasets while working under the guidance of Data Stewards and project leads.
HOW TO APPLY: Please submit your application at:
ESSENTIAL RESPONSIBILITIES:
  • Assist in collecting, organizing, and managing high-quality datasets from field, laboratory, and modeling projects
  • Perform data entry, formatting, and quality assurance/quality control (QA/QC) following established protocols
  • Support data tracking, processing, and archiving within project-specific or organizational databases
  • Assist in maintaining relational databases (e.g., Django, Access, SQL) and spreadsheets for data storage and reporting
  • Generate basic data summaries, tables, and figures using Excel, R, Python, or comparable software tools
  • Assist Data Stewards to ensure consistent data structure, metadata documentation, and file version control
  • Support the preparation of datasets for submittal to clients or public repositories under guidance from senior staff
  • Maintain organized electronic files and documentation to support data transparency and reproducibility
  • Contribute to continuous improvement of data workflows and internal data management practices.

EDUCATION / MINIMUM QUALIFICATIONS
  • Bachelor's degree in Data Science, Fisheries, or a closely related biological or data-focused field
  • Experience with databases, data processing workflows, and QA/QC procedures preferred
  • Experience preparing graphical data representations and performing basic statistical analysis desirable

WORKING CONDITIONS AND PHYSICAL DEMANDS:
  • Ability to perform computerized data management in an office environment

COMPENSATION
$24.00 - $30.00/hour depending upon experience. Final compensation at Cramer Fish Sciences (CFS) is determined based on internal equity, relevant qualifications and experience, and market considerations.
BENEFITS
401(k) has a 3% match and full vesting after one year. The annual cash bonus has a 3% target. The benefit package includes medical, dental, vision, basic life, long-term disability, flexible spending accounts, employee assistance programs, paid time off, paid company holidays, and other various voluntary benefits.
ESOP
CFS is a 100% employee-owned company. Our employee stock option plan (ESOP) is a qualified defined contribution plan. Our target ESOP contribution is 5%. Eligibility is after one year of service with an entry date of Jan 1 or July 1.
ABOUT CRAMER FISH SCIENCES:
We are a fisheries research consulting firm operating throughout the Pacific States and Idaho. As a growing, employee-owned company, our mission is to rigorously apply the scientific method to provide innovative, scientifically robust solutions to a variety of fisheries and environmental challenges. We do this through effective and unbiased data collection, insightful analysis, and clear communication, including publishing results in scientific journals.
CFS is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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