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Entry Level Data Modeler Jobs (NOW HIRING)

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Big Data Engineer

New York, NY · On-site

$30 - $40/hr

Entry-Level Data Engineer Job Title: Entry-Level Data Engineer Location: Candidate must be open ... Understanding of ETL/ELT concepts and data modeling fundamentals. * Strong analytical and problem ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Inroads

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll take ownership of building reliable ELT/ETL pipelines and strong analytical data models using dbt.

Noblesoft Solutions

Data Scientist

Jacksonville, FL

... model of delivering high profile solutions for our clients across the country. This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

... model of delivering high profile solutions for our clients across the country. This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on ...

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Entry Level Data Modeler information

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$10

$58

$83

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

As of Aug 4, 2026, the average hourly pay for entry level data modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level data modelers, and how can they overcome them?

Entry level data modelers often encounter challenges such as understanding complex data sources, translating business requirements into efficient data structures, and learning new modeling tools or methodologies. To overcome these, it's helpful to seek mentorship from experienced team members, actively participate in project meetings to clarify requirements, and invest time in hands-on practice with data modeling software. Collaborating closely with database administrators, analysts, and developers also enhances understanding of practical data flows and integration points.

What is the difference between Entry Level Data Modeler vs Data Analyst?

AspectEntry Level Data ModelerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; basic understanding of data modeling toolsBachelor's in Statistics, Math, or related; proficiency in data analysis software
Work EnvironmentData modeling teams, database development projectsBusiness intelligence teams, reporting, and data interpretation
Employer & Industry UsageTech companies, finance, healthcare, where data structure design is neededMarketing, finance, healthcare, focusing on data insights and reporting

While both roles involve working with data, an Entry Level Data Modeler primarily focuses on designing and creating data structures and models, whereas a Data Analyst interprets data to generate insights. The roles often overlap in industries like tech and finance, but their core responsibilities differ: modeling vs. analysis.

What is an entry level data modeler?

Entry Level Data Modelers are professionals who help design, create, and maintain data models for organizations, typically at the start of their careers. They work with senior data modelers or data architects to organize data structures, ensuring data is stored, accessed, and managed efficiently. Their tasks may include building entity-relationship diagrams, documenting data flows, and supporting database development. Entry level data modelers often work with teams in IT, analytics, or business intelligence, and use tools such as SQL and data modeling software. They play a crucial role in ensuring data integrity and supporting business operations through effective data management.

What are the key skills and qualifications needed to thrive as an entry level data modeler?

To thrive as an Entry Level Data Modeler, you typically need a solid understanding of database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with data modeling tools like ERwin, SQL databases, and basic knowledge of data warehousing systems is commonly expected. Strong analytical skills, attention to detail, and effective communication help you translate business needs into accurate data models. These competencies ensure data structures are efficient, scalable, and aligned with organizational objectives, supporting successful project outcomes.
More about Entry Level Data Modeler jobs
What cities are hiring for Entry Level Data Modeler jobs? Cities with the most Entry Level Data Modeler job openings:
What are the most commonly searched types of Data Modeler jobs? The most popular types of Data Modeler jobs are:
What job categories do people searching Entry Level Data Modeler jobs look for? The top searched job categories for Entry Level Data Modeler jobs are:
Entry Level Data Modeler jobs near you
Infographic showing various Entry Level Data Modeler job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

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

Job description

Entry-Level Data Engineer

Job Title: Entry-Level Data Engineer

Location: Candidate must be open relocate.

Employment Type: Full-time

Job Summary

We are looking for a motivated Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work closely with data engineers, analysts, data scientists, and software developers to ensure data is accurate, reliable, and accessible.

This position is ideal for recent graduates or candidates with internship or project experience in data engineering, computer science, or related fields.

Key Responsibilities

  • Assist in developing and maintaining ETL/ELT data pipelines.
  • Collect, clean, transform, and validate data from multiple sources.
  • Support the design and optimization of databases and data warehouses.
  • Monitor data pipeline performance and troubleshoot issues.
  • Write efficient SQL queries to extract and analyze data.
  • Collaborate with cross-functional teams to understand data requirements.
  • Document data workflows, processes, and technical specifications.
  • Participate in code reviews and follow engineering best practices.
  • Help automate routine data processing tasks.
  • Ensure data quality, integrity, and security.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Basic understanding of SQL and relational databases.
  • Familiarity with at least one programming language such as Python, Java, or Scala.
  • Knowledge of data structures and algorithms.
  • Understanding of ETL/ELT concepts and data modeling fundamentals.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
  • Willingness to learn new technologies and tools.

Preferred Qualifications

  • Internship or academic project experience in data engineering or analytics.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to big data technologies like Apache Spark or Hadoop.
  • Experience with version control systems such as Git.
  • Knowledge of workflow orchestration tools (e.g., Apache Airflow).
  • Basic understanding of data warehousing concepts.

Technical Skills

  • SQL
  • Python (preferred)
  • Git
  • Relational databases (PostgreSQL, MySQL, SQL Server, etc.)
  • Basic Linux/Unix commands
  • Excel
  • Cloud fundamentals (AWS, Azure, or GCP)

Soft Skills

  • Problem-solving mindset
  • Attention to detail
  • Communication skills
  • Team collaboration
  • Time management
  • Adaptability
  • Eagerness to learn

Thanks