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Entry Level Data Modeling Jobs (NOW HIRING)

Hays Electrical Services

Data Analyst I

Houston, TX · On-site

... is an entry-level position within the Business Intelligence & Strategy department at Hays ... The right candidate is detail-oriented, foundationally strong in Power BI and data modeling ...

Hadronts

Entry Level Infermatica(ETL) Developer

Austin, TX

$50.50 - $66.25/hr

Informatica Developer Hadronts Group is searching for an entry level Informatica Developer to join ... data modeling Knowledge with unit testing of ETL code to ensure it can be delivered and run in a ...

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How much do entry level data modeling jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for entry level data modeling in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

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.
What are the most commonly searched types of Data Modeling jobs? The most popular types of Data Modeling jobs are:
What states have the most Entry Level Data Modeling jobs? States with the most job openings for Entry Level Data Modeling jobs include:
Entry Level Data Modeling jobs near you
Data Analyst/Engineer - Entry Level

Data Analyst/Engineer - Entry Level

SynergisticIT

Manhattan, NY • On-site

Other

Posted 10 days ago

Job description

Junior Data Engineer — Build the Backbone of Data-Driven Teams Data engineering is a powerful path for candidates who like databases, pipelines, Python, SQL, and systems thinking. Data scientists and analysts depend on clean, accessible, reliable data—and data engineers help make that possible. Entry-level candidates can stand out by showing they understand data movement, transformation, storage, and workflow basics. SynergisticIT is seeking candidates interested in SQL, Python, ETL, data pipelines, databases, data modeling, cloud data tools, analytics engineering, and data warehouse concepts. This opportunity is ideal for candidates who want to build a technical data career beyond dashboards or notebooks. SynergisticIT JOPP is good for junior data engineering candidates because it helps them develop practical technical depth and job-ready proof. Candidates can work toward stronger projects, better resume alignment, interview preparation, and clearer positioning for data engineering, data analyst, and data science-adjacent 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 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/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If you want to build the systems behind modern data teams, 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.

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